Zhang Gradient Control
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Zhang Gradient Control
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Author : Yunong Zhang
language : en
Publisher: Springer Nature
Release Date : 2020-11-24
Zhang Gradient Control written by Yunong Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-24 with Technology & Engineering categories.
This book introduces readers to using the simple but effective Zhang-gradient (ZG) method to solve tracking-control problems concerning various nonlinear systems, while also highlighting the applications of the ZG method to tracking control for practical systems, e.g. an inverted-pendulum-on-a-cart (IPC) system and a two-wheeled mobile robot (showing its potential applications). In addition to detailed theoretical analyses of ZG controllers, the book presents a wealth of computer simulations to demonstrate the feasibility and efficacy of the controllers discussed (as well as the method itself). More importantly, the superiority of ZG controllers in overcoming the division-by-zero (DBZ) problem is also illustrated. Given its scope and format, the book is well suited for undergraduate and graduate students, as well as academic and industrial researchers in the fields of neural dynamics/neural networks, nonlinear control, computer mathematics, time-varying problem solving, modeling and simulation, analog hardware, and robotics.
Zhang Gradient Control
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Author : Yunong Zhang
language : en
Publisher:
Release Date : 2021
Zhang Gradient Control written by Yunong Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book introduces readers to using the simple but effective Zhang-gradient (ZG) method to solve tracking-control problems concerning various nonlinear systems, while also highlighting the applications of the ZG method to tracking control for practical systems, e.g. an inverted-pendulum-on-a-cart (IPC) system and a two-wheeled mobile robot (showing its potential applications). In addition to detailed theoretical analyses of ZG controllers, the book presents a wealth of computer simulations to demonstrate the feasibility and efficacy of the controllers discussed (as well as the method itself). More importantly, the superiority of ZG controllers in overcoming the division-by-zero (DBZ) problem is also illustrated. Given its scope and format, the book is well suited for undergraduate and graduate students, as well as academic and industrial researchers in the fields of neural dynamics/neural networks, nonlinear control, computer mathematics, time-varying problem solving, modeling and simulation, analog hardware, and robotics.
Extremum Seeking Control And Applications
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Author : Chunlei Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-26
Extremum Seeking Control And Applications written by Chunlei Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-26 with Technology & Engineering categories.
Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis. Extremum-seeking Control and Applications is divided into two parts. In the first, the authors review existing analog-optimization-based extremum-seeking control including gradient-, perturbation- and sliding-mode-based control designs. They then propose a novel numerical-optimization-based extremum-seeking control based on optimization algorithms and state regulation. This control design is developed for simple linear time-invariant systems and then extended for a class of feedback linearizable nonlinear systems. The two main optimization algorithms – line search and trust region methods – are analyzed for robustness. Finite-time and asymptotic state regulators are put forward for linear and nonlinear systems respectively. Further design flexibility is achieved using the robustness results of the optimization algorithms and the asymptotic state regulator by which existing nonlinear adaptive control techniques can be introduced for robust design. The approach used is easier to implement and tends to be more robust than those that use perturbation-based extremum-seeking control. The second part of the book deals with a variety of applications of extremum-seeking control: a comparative study of extremum-seeking control schemes in antilock braking system design; source seeking, formation control, collision and obstacle avoidance for groups of autonomous agents; mobile radar networks; and impedance matching. MATLAB®/Simulink® code which can be downloaded from www.springer.com/ISBN helps readers to reproduce the results presented in the text and gives them a head start for implementing the algorithms in their own applications. Extremum-seeking Control and Applications will interest academics and graduate students working in control, and industrial practitioners from a variety of backgrounds: systems, automotive, aerospace, communications, semiconductor and chemical engineering.
Ai Based Robot Safe Learning And Control
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Author : Xuefeng Zhou
language : en
Publisher: Springer Nature
Release Date : 2020-06-02
Ai Based Robot Safe Learning And Control written by Xuefeng Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Technology & Engineering categories.
This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.
Strict Feedback Nonlinear Systems
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Author : Xianfu Zhang
language : en
Publisher: Springer Nature
Release Date : 2023-01-13
Strict Feedback Nonlinear Systems written by Xianfu Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-13 with Technology & Engineering categories.
This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications.
Zeroing Dynamics Gradient Dynamics And Newton Iterations
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Author : Yunong Zhang
language : en
Publisher: CRC Press
Release Date : 2018-10-09
Zeroing Dynamics Gradient Dynamics And Newton Iterations written by Yunong Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-09 with Mathematics categories.
Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals. The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.
Neural Bio Inspired Processing And Robot Control
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Author : Huanqing Wang
language : en
Publisher: Frontiers Media SA
Release Date : 2019-01-24
Neural Bio Inspired Processing And Robot Control written by Huanqing Wang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-24 with categories.
This Research Topic presents bio-inspired and neurological insights for the development of intelligent robotic control algorithms. This aims to bridge the inter-disciplinary gaps between neuroscience and robotics to accelerate the pace of research and development.
Applied Artificial Higher Order Neural Networks For Control And Recognition
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Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2016-05-05
Applied Artificial Higher Order Neural Networks For Control And Recognition written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-05 with Computers categories.
In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.
Adaptive Sliding Mode Neural Network Control For Nonlinear Systems
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Author : Yang Li
language : en
Publisher: Academic Press
Release Date : 2018-11-16
Adaptive Sliding Mode Neural Network Control For Nonlinear Systems written by Yang Li and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Technology & Engineering categories.
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic architecture of control science and engineering. Introduces nonlinear systems' basic knowledge, analysis and control methods, along with applications in various fields Offers instructive examples and simulations, including source codes Provides the basic architecture of control science and engineering
Advanced Control Of Flight Vehicle Maneuver And Operation
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Author : Chuang Liu
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-03-07
Advanced Control Of Flight Vehicle Maneuver And Operation written by Chuang Liu and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-07 with Technology & Engineering categories.
This book focuses on the advanced controller designs of flight vehicle maneuver and operation. Chapters explain advanced control mechanisms and algorithms for different controllers required in a flight vehicle system. The book topics such as air-disturbance fixed time controllers, algorithms for orbit and attitude computation, adaptive control modes, altitude stabilization, nonlinear vibration control, partial space elevator configuration, controls for formation flying and satellite cluster, respectively. Key features: 1) Includes an investigation of high-precision and high-stability control problems of flight vehicles 2) Multiple complex disturbances are considered to improve robust performance and control accuracy 3)Covers a variety of single spacecraft and distributed space systems (including hypersonic vehicles, flexible aircraft, rigid aircraft, and satellites This book will be helpful to aerospace scientists and engineers who are interested in working on the development of flight vehicle maneuver and operation. Researchers studying control science and engineering, and advanced undergraduate and graduate students and professionals involved in the flight vehicle control field will also benefit from the information given in this book.