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Numerical and Evolutionary Optimization

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ISBN: 9783039218165 9783039218172 Year: Pages: 230 DOI: 10.3390/books978-3-03921-817-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

Applications of Computational Intelligence to Power Systems

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ISBN: 9783039217601 9783039217618 Year: Pages: 116 DOI: 10.3390/books978-3-03921-761-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-11-08 11:31:56
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Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

Methods in Computational Biology

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ISBN: 9783039211630 9783039211647 Year: Pages: 214 DOI: 10.3390/books978-3-03921-164-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-08-28 11:21:27
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Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

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ISBN: 9783039288892 / 9783039288908 Year: Pages: 258 DOI: 10.3390/books978-3-03928-890-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

Intelligent Optimization Modelling in Energy Forecasting

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ISBN: 9783039283644 9783039283651 Year: Pages: 262 DOI: 10.3390/books978-3-03928-365-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2020-04-07 23:07:09
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Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.

Keywords

short-term load forecasting --- weighted k-nearest neighbor (W-K-NN) algorithm --- comparative analysis --- empirical mode decomposition (EMD) --- particle swarm optimization (PSO) algorithm --- intrinsic mode function (IMF) --- support vector regression (SVR) --- short term load forecasting --- crude oil price forecasting --- time series forecasting --- hybrid model --- complementary ensemble empirical mode decomposition (CEEMD) --- sparse Bayesian learning (SBL) --- multi-step wind speed prediction --- Ensemble Empirical Mode Decomposition --- Long Short Term Memory --- General Regression Neural Network --- Brain Storm Optimization --- substation project cost forecasting model --- feature selection --- data inconsistency rate --- modified fruit fly optimization algorithm --- deep convolutional neural network --- multi-objective grey wolf optimizer --- long short-term memory --- fuzzy time series --- LEM2 --- combination forecasting --- wind speed --- electrical power load --- crude oil prices --- time series forecasting --- improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) --- kernel learning --- kernel ridge regression --- differential evolution (DE) --- artificial intelligence techniques --- energy forecasting --- condition-based maintenance --- asset management --- renewable energy consumption --- Gaussian processes regression --- state transition algorithm --- five-year project --- forecasting --- Markov-switching --- Markov-switching GARCH --- energy futures --- commodities --- portfolio management --- active investment --- diversification --- institutional investors --- energy price hedging --- metamodel --- ensemble --- individual --- regression --- interpolation

Entropy in Image Analysis

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ISBN: 9783039210923 9783039210930 Year: Pages: 456 DOI: 10.3390/books978-3-03921-093-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.

Keywords

image retrieval --- multi-feature fusion --- entropy --- relevance feedback --- chaotic system --- image encryption --- permutation-diffusion --- SHA-256 hash value --- dynamic index --- entropy --- keyframes --- Shannon’s entropy --- sign languages --- video summarization --- video skimming --- image encryption --- multiple-image encryption --- two-dimensional chaotic economic map --- security analysis --- image encryption --- chaotic cryptography --- cryptanalysis --- chosen-plaintext attack --- image information entropy --- blind image quality assessment (BIQA) --- information entropy, natural scene statistics (NSS) --- Weibull statistics --- discrete cosine transform (DCT) --- ultrasound --- hepatic steatosis --- Shannon entropy --- fatty liver --- metabolic syndrome --- multi-exposure image fusion --- texture information entropy --- adaptive selection --- patch structure decomposition --- image encryption --- time-delay --- random insertion --- information entropy --- chaotic map --- uncertainty assessment --- deep neural network --- random forest --- Shannon entropy --- positron emission tomography --- reconstruction --- field of experts --- additive manufacturing --- 3D prints --- 3D scanning --- image entropy --- depth maps --- surface quality assessment --- machine vision --- image analysis --- Arimoto entropy --- free-form deformations --- normalized divergence measure --- gradient distributions --- nonextensive entropy --- non-rigid registration --- pavement --- macrotexture --- 3-D digital imaging --- entropy --- decay trend --- discrete entropy --- infrared images --- low contrast --- multiscale top-hat transform --- image encryption --- DNA encoding --- chaotic cryptography --- cryptanalysis --- image privacy --- computer aided diagnostics --- colonoscopy --- Rényi entropies --- structural entropy --- spatial filling factor --- binary image --- Cantor set --- Hénon map --- Minkowski island --- prime-indexed primes --- Ramanujan primes --- Kapur’s entropy --- color image segmentation --- whale optimization algorithm --- differential evolution --- hybrid algorithm --- Otsu method --- image encryption --- dynamic filtering --- DNA computing --- 3D Latin cube --- permutation --- diffusion --- fuzzy entropy --- electromagnetic field optimization --- chaotic strategy --- color image segmentation --- multilevel thresholding --- contrast enhancement --- sigmoid --- Tsallis statistics --- q-exponential --- q-sigmoid --- q-Gaussian --- ultra-sound images --- person re-identification --- image analysis --- hash layer --- quantization loss --- Hamming distance --- cross-entropy loss --- image entropy --- Shannon entropy --- generalized entropies --- image processing --- image segmentation --- medical imaging --- remote sensing --- security

Adaptive Catchment Management and Reservoir Operation

Authors: --- ---
ISBN: 9783038977384 9783038977391 Year: Pages: 498 DOI: 10.3390/books978-3-03897-739-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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River catchments and reservoirs play a central role in water security, food supply, flood risk management, hydropower generation, and ecosystem services; however, they are now under increasing pressure from population growth, economic activities, and changing climate means and extremes in many parts of the world. Adaptive management of river catchments and reservoirs requires an in-depth understanding of the impacts of future uncertainties and thus the development of robust, sustainable solutions to meet the needs of various stakeholders and the environment. To tackle the huge challenges in moving towards adaptive catchment management, this book presents the latest developments in cutting-edge knowledge, novel methodologies, innovative management strategies, and case studies, focusing on the following themes: reservoir dynamics and impact analysis of dam construction, optimal reservoir operation, climate change impacts on hydrological processes and water management, and integrated catchment management.

Keywords

Siemianówka --- hydrology --- Narew River --- dam --- reservoir --- discharge --- flow regime --- reservoir flushing --- numerical simulation --- flushing efficiency --- Kurobe River --- two-dimensional bed evolution model --- sediment flushing of empty storage --- shaft spillway pipe --- sediment flushing efficiency --- sediment regime --- suspended sediment concentration --- vertical profiles of concentration --- Jingjiang River Reach --- Yangtze River --- CO2 --- reservoirs --- general regression neural network --- back propagation neural network --- climate change --- CMIP3 --- CMIP5 --- downscaling --- runoff response --- SWAT model --- stochastic linear programming --- Markov chain --- reliability --- vulnerability --- reservoir operation --- stochastic dynamic programming --- protection zone --- nutrient uptake --- NPP --- South-to-North Water Transfer Project --- Miyun Reservoir --- reservoir operation --- optimization --- SWAT --- HEC-ResPRM --- climate change --- CORDEX-Africa --- Tekeze basin --- long distance water diversion --- inverted siphon --- sensitivity analysis --- integrated supply system modeling --- sediment regime --- suspended sediment concentration --- vertical profiles of concentration --- the Jingjiang River Reach --- the Yangtze River --- reservoir operation --- multi-stage stochastic optimization --- TB-MPC --- flood control --- real-time control --- energy --- hydropower stations --- differential evolution algorithm --- optimal scheduling --- ?-constrained method --- drinking water resources --- water environmental capacity (WEC) --- Environmental Fluid Dynamics Code (EFDC) model --- the Huangshi Reservoir --- seasonal rainfall --- upper Chao Phraya River Basin --- El Niño/Southern Oscillation --- Indian Monsoon --- sea surface temperatures --- reverse regulation --- coupling model --- aftereffect --- accompanying progressive optimality algorithm --- Dokan Dam --- runoff --- sediment load --- SWAT --- natural flow regime --- multi-objective model --- uncertainty --- genetic algorithm --- land and water resources --- system dynamics --- modeling --- scenario analysis --- Heilongjiang --- tropical reservoir --- heating impact --- Langcang-Mekong River --- Kappa distribution --- parameter relation --- partial gauged basin --- power function --- ratio curve --- ungauged basin --- reservoir operation --- integrated surface water-groundwater model --- Heihe River Basin --- environmental flow --- irrigation --- design and operation of the multipurpose reservoir --- water deficit --- reservoir simulation model --- climate change --- multi-objective optimization NSGA II --- resilience and robustness --- costs and benefits --- water energy --- multi-agent of river basin --- game theory --- water resources allocation --- optimal flood control operation --- cascade reservoirs --- dynamic programming with progressive optimality algorithm (DP-POA) --- the upper Yangtze River Basin --- parameterization --- simulation --- optimization --- direct policy search --- hedging policy --- shortage ratio: Vulnerability --- NSGA-II --- lentic habitats --- bitterling --- mussel --- floodplain vertical shape index --- sediment management --- adaptive management --- catchment modelling --- integrated management --- reservoir operation

Intelligent Control in Energy Systems

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ISBN: 9783039214150 9783039214167 Year: Pages: 508 DOI: 10.3390/books978-3-03921-416-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

lithium-ion battery pack --- soft internal short circuit --- model-based fault detection --- battery safety --- internal short circuit resistance --- load frequency control --- model uncertainty --- ?-synthesis --- differential evolution --- decision tree --- preventive control --- Fault Ride Through Capability --- doubly-fed induction generator --- ancillary service --- frequency regulation --- demand response --- commercial/residential buildings --- HVAC systems --- model predictive control --- rule-based control --- position control --- static friction --- exhaust gas recirculation (EGR) valve system --- automotive application --- hybrid electric vehicle --- compound structured permanent-magnet motor --- energy management strategy --- instantaneous optimization minimum power loss --- back propagation (BP) neural network --- power transformer winding --- vibration characteristics --- multiphysical field analysis --- short-circuit experiment --- winding-fault characteristics --- occupancy model --- occupancy-based control --- model predictive control --- energy efficiency --- building climate control --- solar monitoring system --- photovoltaic array --- energy management --- demand side management --- operation limit violations --- probabilistic power flow --- network sensitivity --- neural networks --- railway --- high-speed railway --- neutral section --- medium voltage --- thyristor --- AC static switch --- adaptive backstepping --- nonlinear power systems --- sliding mode control --- error compensation --- ?-class function --- energy internet --- multi-energy complementary --- integrated energy systems --- distribution network planning --- electric power consumption --- multi-step forecasting --- long short term memory --- convolutional neural network --- system identification --- parameter estimation --- system modelling --- model reduction --- polynomial expansion --- orthogonal least square --- industrial process --- electric vehicle --- battery packs --- active balance --- model predictive control --- hierarchical Petri nets --- urban microgrids --- phase-load balancing --- fuzzy logic controller --- MPPT: maximum power point tracking --- photovoltaic system --- step-up boost converter --- proton exchange membrane fuel cell --- four phases interleaved boost converter --- neural network controller --- AC-DC converters --- bridgeless SEPIC PFC converter --- repetitive controller --- current distortion --- current controller design --- stochastic power system operating point drift --- wind integrated power system --- power oscillations --- adaptive damping control --- continuous voltage control --- multiple-point control --- interaction minimization --- pilot point --- adjacent areas --- ANFIS --- artificial neural network --- fuzzy --- small scale compressed air energy storage (SS-CAES) --- voltage controlling --- electric meter --- error estimation --- line loss --- RLS --- double forgetting factors --- hybrid power plant --- control architecture --- coordination of reserves --- frequency support --- frequency control dead band --- fast frequency response --- frequency containment reserve --- line switching --- voltage violations --- three-stage --- fractional order fuzzy PID controller --- neural network algorithm --- PEM fuel cell --- MPPT operation --- sensitivity analysis --- intelligent control --- artificial intelligence --- energy management system --- smart micro-grid --- energy systems --- intelligent buildings --- forecasting --- multi-agent control --- optimization

Advanced Mobile Robotics: Volume 1

Author:
ISBN: 9783039219162 9783039219179 Year: Pages: 468 DOI: 10.3390/books978-3-03921-917-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.

Keywords

path planning --- lane change --- excellent driver model --- neural networks --- autonomous vehicle --- remotely operated vehicle --- ocean current --- cable disturbance modeling --- lumped parameter method --- sliding mode observer --- 4WS4WD vehicle --- force control --- MPC --- PSO --- path tracking --- negative-buoyancy --- tri-tilt-rotor --- autonomous underwater vehicle (AUV) --- immersion and invariance --- object mapping --- Geometric Algebra --- Differential Evolution --- non-inertial reference frame --- centrifugal force --- turning model LIP --- trajectory planning --- space robot --- hybrid bionic robot --- chameleon --- end effector --- hybrid robot --- curve fitting --- fair optimisation --- trajectory interpolation --- piezoelectric actuator --- high step-up ratio --- high efficiency --- small size --- micro mobile robot --- biomimetic robot --- micro air vehicle --- flapping --- drag-based system --- dragonfly --- snake-like robot --- singularity analysis --- system design --- dynamical model --- nonlinear differentiator --- robotic drilling --- sliding mode control --- drilling end-effector --- fault diagnosis --- quadcopter UAV --- fault-tolerant control --- sliding mode observer --- Thau observer --- smart materials --- actuators --- robots --- electro-rheological fluids --- magneto-rheological fluids --- shape memory alloys --- medical devices --- rehabilitation system --- LOS --- motion camouflage control --- parallel navigation --- missile control system --- target tracking --- variable speed --- high-speed target --- snake robots --- head-raising --- shape-fitting --- phase-shifting --- spiral curve --- servo valve --- pneumatics --- position control --- cart --- robot --- step climbing --- transportation --- stopper --- climbing robot --- safety recovery mechanism --- cable detection --- dynamic coupling analysis --- path planning --- mobile robots --- curvature constraints --- state constraints --- extend procedure --- G3-continuity --- car-like kinematics --- obstacle avoidance system --- harmonic potential field --- curvature constraint --- non-holonomic mobile robot --- computing time --- inverse kinematics --- joint limit avoidance --- kinematic singularity --- manipulator --- obstacle avoidance --- potential field --- service robot --- graph representation --- similarity measure --- mobile robot --- static environments --- path planning --- multi-objective optimization --- NSGA-II --- evolutionary operators --- mobile robot --- coalmine --- exploration --- robotics --- ATEX --- safety --- methane --- quadruped robot --- stability criterion --- dynamic gait --- glass façade cleaning robot --- wall climbing robot --- biped mechanism --- data association --- 3D-SLAM --- localization --- mapping --- disturbance-rejection control --- extended state observer (ESO) --- hover mode --- transition mode --- negative buoyancy --- quad-tilt rotor --- autonomous underwater vehicle (AUV) --- Rodrigues parameters --- UAV --- variable spray --- prescription map translation --- PID algorithm --- grip planning --- biped climbing robots --- collision avoidance --- grip optimization --- dynamic environment --- closed-loop detection --- sparse pose adjustment (SPA) --- inertial measurement unit (IMU) --- simultaneous localization and mapping (SLAM) --- non-singular fast-terminal sliding-mode control --- industrial robotic manipulator --- external disturbance --- dynamic uncertainty --- adaptive control law --- exoskeleton --- load carriage --- muscle activities --- human–robot interaction --- discomfort --- actuatorless --- alpine ski --- human–robot interaction --- mechanism --- passive skiing turn --- skiing robot --- predictable trajectory planning --- geodesic --- constrained motion --- mobile robot --- jumping robot --- hopping robot --- continuous hopping --- single actuator --- self-reconfigurable robot --- cleaning robot --- Tetris-inspired --- polyomino tiling theory --- coverage path planning --- area decomposition --- multi-criteria decision making --- design and modeling --- kinematics --- kinematic identification --- monocular vision --- action generation --- robot motion --- undiscovered sensor values --- differential wheeled robot --- powered exoskeleton --- motion sensor --- machine learning --- unmanned aerial vehicle --- pesticide application --- deposition uniformity --- droplets penetrability --- control efficacy --- working efficiency --- subgoal graphs --- reinforcement learning --- hierarchical path planning --- uncertain environments --- mobile robots --- deep reinforcement learning --- mobile manipulation --- robot learning --- intelligent mobile robot --- pallet transportation --- master-slave --- compact driving unit --- high-gain observer --- snake robot --- series elastic actuator --- SEA --- Robot Operating System --- ROS --- non-prehensile manipulation --- manipulation planning --- contact planning --- manipulation action sequences --- robot --- obstacle avoidance --- facial and gender recognition --- q-learning --- Q-networks --- reinforcement learning --- gait cycle --- biped robots --- minimally invasive surgery robot --- inverse kinematics --- dialytic elimination --- Newton iteration --- curvilinear obstacle --- douglas–peuker polygonal approximation --- opposite angle-based exact cell decomposition --- path planning --- mobile robot --- UAV --- auto-tuning --- machine learning --- iterative learning --- extremum-seeking --- altitude controller --- enemy avoidance --- reinforcement learning --- decision making --- hardware-in-the-loop simulation --- unmanned aerial vehicles --- path planning --- multiple mobile robots --- artificial fish swarm algorithm --- expansion logic strategy --- sample gathering problem --- mobile robots --- mathematical modeling --- numerical evaluation --- centralized architecture --- optimization --- fault recovery --- reinforcement learning --- gait adaptation --- legged robot --- bio-inspired robot --- human–machine interactive navigation --- mobile robot --- topological map --- regional growth --- trajectory planning --- position/force cooperative control --- hierarchical planning --- object-oriented --- symmetrical adaptive variable impedance --- biologically-inspired --- self-learning --- formation control --- mobile robots --- loop closure detection --- convolutional neural network --- spatial pyramid pooling --- dynamic neural networks --- mobile robot navigation --- gesture recognition --- behaviour dynamics --- real-time action recognition --- formation of robots --- non-holonomic robot --- stability analysis --- Lyapunov-like function --- target assignment --- goal exchange --- path following --- switching control --- swarm-robotics --- rendezvous consensus --- robot navigation --- victim-detection --- unmanned surface vessel --- path following --- integral line-of-sight --- finite-time currents observer --- radial basis function neural networks --- input saturation --- n/a

Advanced Mobile Robotics: Volume 2

Author:
ISBN: 9783039219445 9783039219452 Year: Pages: 498 DOI: 10.3390/books978-3-03921-945-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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Abstract

Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.

Keywords

path planning --- lane change --- excellent driver model --- neural networks --- autonomous vehicle --- remotely operated vehicle --- ocean current --- cable disturbance modeling --- lumped parameter method --- sliding mode observer --- 4WS4WD vehicle --- force control --- MPC --- PSO --- path tracking --- negative-buoyancy --- tri-tilt-rotor --- autonomous underwater vehicle (AUV) --- immersion and invariance --- object mapping --- Geometric Algebra --- Differential Evolution --- non-inertial reference frame --- centrifugal force --- turning model LIP --- trajectory planning --- space robot --- hybrid bionic robot --- chameleon --- end effector --- hybrid robot --- curve fitting --- fair optimisation --- trajectory interpolation --- piezoelectric actuator --- high step-up ratio --- high efficiency --- small size --- micro mobile robot --- biomimetic robot --- micro air vehicle --- flapping --- drag-based system --- dragonfly --- snake-like robot --- singularity analysis --- system design --- dynamical model --- nonlinear differentiator --- robotic drilling --- sliding mode control --- drilling end-effector --- fault diagnosis --- quadcopter UAV --- fault-tolerant control --- sliding mode observer --- Thau observer --- smart materials --- actuators --- robots --- electro-rheological fluids --- magneto-rheological fluids --- shape memory alloys --- medical devices --- rehabilitation system --- LOS --- motion camouflage control --- parallel navigation --- missile control system --- target tracking --- variable speed --- high-speed target --- snake robots --- head-raising --- shape-fitting --- phase-shifting --- spiral curve --- servo valve --- pneumatics --- position control --- cart --- robot --- step climbing --- transportation --- stopper --- climbing robot --- safety recovery mechanism --- cable detection --- dynamic coupling analysis --- path planning --- mobile robots --- curvature constraints --- state constraints --- extend procedure --- G3-continuity --- car-like kinematics --- obstacle avoidance system --- harmonic potential field --- curvature constraint --- non-holonomic mobile robot --- computing time --- inverse kinematics --- joint limit avoidance --- kinematic singularity --- manipulator --- obstacle avoidance --- potential field --- service robot --- graph representation --- similarity measure --- mobile robot --- static environments --- path planning --- multi-objective optimization --- NSGA-II --- evolutionary operators --- mobile robot --- coalmine --- exploration --- robotics --- ATEX --- safety --- methane --- quadruped robot --- stability criterion --- dynamic gait --- glass façade cleaning robot --- wall climbing robot --- biped mechanism --- data association --- 3D-SLAM --- localization --- mapping --- disturbance-rejection control --- extended state observer (ESO) --- hover mode --- transition mode --- negative buoyancy --- quad-tilt rotor --- autonomous underwater vehicle (AUV) --- Rodrigues parameters --- UAV --- variable spray --- prescription map translation --- PID algorithm --- grip planning --- biped climbing robots --- collision avoidance --- grip optimization --- dynamic environment --- closed-loop detection --- sparse pose adjustment (SPA) --- inertial measurement unit (IMU) --- simultaneous localization and mapping (SLAM) --- non-singular fast-terminal sliding-mode control --- industrial robotic manipulator --- external disturbance --- dynamic uncertainty --- adaptive control law --- exoskeleton --- load carriage --- muscle activities --- human–robot interaction --- discomfort --- actuatorless --- alpine ski --- human–robot interaction --- mechanism --- passive skiing turn --- skiing robot --- predictable trajectory planning --- geodesic --- constrained motion --- mobile robot --- jumping robot --- hopping robot --- continuous hopping --- single actuator --- self-reconfigurable robot --- cleaning robot --- Tetris-inspired --- polyomino tiling theory --- coverage path planning --- area decomposition --- multi-criteria decision making --- design and modeling --- kinematics --- kinematic identification --- monocular vision --- action generation --- robot motion --- undiscovered sensor values --- differential wheeled robot --- powered exoskeleton --- motion sensor --- machine learning --- unmanned aerial vehicle --- pesticide application --- deposition uniformity --- droplets penetrability --- control efficacy --- working efficiency --- subgoal graphs --- reinforcement learning --- hierarchical path planning --- uncertain environments --- mobile robots --- deep reinforcement learning --- mobile manipulation --- robot learning --- intelligent mobile robot --- pallet transportation --- master-slave --- compact driving unit --- high-gain observer --- snake robot --- series elastic actuator --- SEA --- Robot Operating System --- ROS --- non-prehensile manipulation --- manipulation planning --- contact planning --- manipulation action sequences --- robot --- obstacle avoidance --- facial and gender recognition --- q-learning --- Q-networks --- reinforcement learning --- gait cycle --- biped robots --- minimally invasive surgery robot --- inverse kinematics --- dialytic elimination --- Newton iteration --- curvilinear obstacle --- douglas–peuker polygonal approximation --- opposite angle-based exact cell decomposition --- path planning --- mobile robot --- UAV --- auto-tuning --- machine learning --- iterative learning --- extremum-seeking --- altitude controller --- enemy avoidance --- reinforcement learning --- decision making --- hardware-in-the-loop simulation --- unmanned aerial vehicles --- path planning --- multiple mobile robots --- artificial fish swarm algorithm --- expansion logic strategy --- sample gathering problem --- mobile robots --- mathematical modeling --- numerical evaluation --- centralized architecture --- optimization --- fault recovery --- reinforcement learning --- gait adaptation --- legged robot --- bio-inspired robot --- human–machine interactive navigation --- mobile robot --- topological map --- regional growth --- trajectory planning --- position/force cooperative control --- hierarchical planning --- object-oriented --- symmetrical adaptive variable impedance --- biologically-inspired --- self-learning --- formation control --- mobile robots --- loop closure detection --- convolutional neural network --- spatial pyramid pooling --- dynamic neural networks --- mobile robot navigation --- gesture recognition --- behaviour dynamics --- real-time action recognition --- formation of robots --- non-holonomic robot --- stability analysis --- Lyapunov-like function --- target assignment --- goal exchange --- path following --- switching control --- swarm-robotics --- rendezvous consensus --- robot navigation --- victim-detection --- unmanned surface vessel --- path following --- integral line-of-sight --- finite-time currents observer --- radial basis function neural networks --- input saturation --- n/a

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