Robust Adaptive Dynamic Programming

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Robust Adaptive Dynamic Programming

Yu Jiang,Zhong-Ping Jiang
Robust Adaptive Dynamic Programming Book PDF

Author : Yu Jiang,Zhong-Ping Jiang
Publisher : John Wiley & Sons
Page : 216 pages
File Size : 49,6 Mb
Release : 2017-05-08
Category : Science
ISBN : 9781119132646

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Robust Adaptive Dynamic Programming by Yu Jiang,Zhong-Ping Jiang Pdf

A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems’ complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.

Robust Adaptive Dynamic Programming

Yu Jiang,Zhong-Ping Jiang
Robust Adaptive Dynamic Programming Book PDF

Author : Yu Jiang,Zhong-Ping Jiang
Publisher : John Wiley & Sons
Page : 216 pages
File Size : 43,5 Mb
Release : 2017-04-25
Category : Science
ISBN : 9781119132660

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Robust Adaptive Dynamic Programming by Yu Jiang,Zhong-Ping Jiang Pdf

A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems’ complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.

Adaptive Dynamic Programming: Single and Multiple Controllers

Ruizhuo Song,Qinglai Wei,Qing Li
Adaptive Dynamic Programming Single and Multiple Controllers Book PDF

Author : Ruizhuo Song,Qinglai Wei,Qing Li
Publisher : Springer
Page : 271 pages
File Size : 53,8 Mb
Release : 2018-12-28
Category : Technology & Engineering
ISBN : 9789811317125

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Adaptive Dynamic Programming: Single and Multiple Controllers by Ruizhuo Song,Qinglai Wei,Qing Li Pdf

This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.

Adaptive Dynamic Programming with Applications in Optimal Control

Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li
Adaptive Dynamic Programming with Applications in Optimal Control Book PDF

Author : Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li
Publisher : Springer
Page : 594 pages
File Size : 47,7 Mb
Release : 2017-01-04
Category : Technology & Engineering
ISBN : 9783319508153

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Adaptive Dynamic Programming with Applications in Optimal Control by Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li Pdf

This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors’ work: • renewable energy scheduling for smart power grids;• coal gasification processes; and• water–gas shift reactions. Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control.

Robust Adaptive Control

Petros Ioannou,Jing Sun
Robust Adaptive Control Book PDF

Author : Petros Ioannou,Jing Sun
Publisher : Courier Corporation
Page : 850 pages
File Size : 50,6 Mb
Release : 2013-09-26
Category : Technology & Engineering
ISBN : 9780486320724

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Robust Adaptive Control by Petros Ioannou,Jing Sun Pdf

This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.

Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

Ding Wang,Chaoxu Mu
Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems Book PDF

Author : Ding Wang,Chaoxu Mu
Publisher : Springer
Page : 307 pages
File Size : 41,5 Mb
Release : 2018-08-10
Category : Technology & Engineering
ISBN : 9789811312533

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Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems by Ding Wang,Chaoxu Mu Pdf

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems.

Self-Learning Optimal Control of Nonlinear Systems

Qinglai Wei,Ruizhuo Song,Benkai Li,Xiaofeng Lin
Self Learning Optimal Control of Nonlinear Systems Book PDF

Author : Qinglai Wei,Ruizhuo Song,Benkai Li,Xiaofeng Lin
Publisher : Springer
Page : 230 pages
File Size : 43,6 Mb
Release : 2017-06-13
Category : Technology & Engineering
ISBN : 9789811040801

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Self-Learning Optimal Control of Nonlinear Systems by Qinglai Wei,Ruizhuo Song,Benkai Li,Xiaofeng Lin Pdf

This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum. With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.

Adaptive Dynamic Programming

Jiayue Sun,Shun Xu,Yang Liu,Huaguang Zhang
Adaptive Dynamic Programming Book PDF

Author : Jiayue Sun,Shun Xu,Yang Liu,Huaguang Zhang
Publisher : Springer Nature
Page : 144 pages
File Size : 43,6 Mb
Release : 2023-10-14
Category : Technology & Engineering
ISBN : 9789819959297

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Adaptive Dynamic Programming by Jiayue Sun,Shun Xu,Yang Liu,Huaguang Zhang Pdf

This open access book focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge.

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Frank L. Lewis,Derong Liu
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control Book PDF

Author : Frank L. Lewis,Derong Liu
Publisher : John Wiley & Sons
Page : 498 pages
File Size : 52,8 Mb
Release : 2013-01-28
Category : Technology & Engineering
ISBN : 9781118453971

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Reinforcement Learning and Approximate Dynamic Programming for Feedback Control by Frank L. Lewis,Derong Liu Pdf

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

Learning-Based Control

Zhong-Ping Jiang,Tao Bian,Weinan Gao
Learning Based Control Book PDF

Author : Zhong-Ping Jiang,Tao Bian,Weinan Gao
Publisher : Now Publishers
Page : 122 pages
File Size : 47,5 Mb
Release : 2020-12-07
Category : Technology & Engineering
ISBN : 1680837524

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Learning-Based Control by Zhong-Ping Jiang,Tao Bian,Weinan Gao Pdf

The recent success of Reinforcement Learning and related methods can be attributed to several key factors. First, it is driven by reward signals obtained through the interaction with the environment. Second, it is closely related to the human learning behavior. Third, it has a solid mathematical foundation. Nonetheless, conventional Reinforcement Learning theory exhibits some shortcomings particularly in a continuous environment or in considering the stability and robustness of the controlled process. In this monograph, the authors build on Reinforcement Learning to present a learning-based approach for controlling dynamical systems from real-time data and review some major developments in this relatively young field. In doing so the authors develop a framework for learning-based control theory that shows how to learn directly suboptimal controllers from input-output data. There are three main challenges on the development of learning-based control. First, there is a need to generalize existing recursive methods. Second, as a fundamental difference between learning-based control and Reinforcement Learning, stability and robustness are important issues that must be addressed for the safety-critical engineering systems such as self-driving cars. Third, data efficiency of Reinforcement Learning algorithms need be addressed for safety-critical engineering systems. This monograph provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.

Approximate Dynamic Programming

Warren B. Powell
Approximate Dynamic Programming Book PDF

Author : Warren B. Powell
Publisher : John Wiley & Sons
Page : 487 pages
File Size : 48,6 Mb
Release : 2007-10-05
Category : Mathematics
ISBN : 9780470182956

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Approximate Dynamic Programming by Warren B. Powell Pdf

A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day operations, it is vital for practitioners to understand how to approach, model, and solve complex industrial problems. Approximate Dynamic Programming is a result of the author's decades of experience working in large industrial settings to develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty. This groundbreaking book uniquely integrates four distinct disciplines—Markov design processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully model and solve a wide range of real-life problems using the techniques of approximate dynamic programming (ADP). The reader is introduced to the three curses of dimensionality that impact complex problems and is also shown how the post-decision state variable allows for the use of classical algorithmic strategies from operations research to treat complex stochastic optimization problems. Designed as an introduction and assuming no prior training in dynamic programming of any form, Approximate Dynamic Programming contains dozens of algorithms that are intended to serve as a starting point in the design of practical solutions for real problems. The book provides detailed coverage of implementation challenges including: modeling complex sequential decision processes under uncertainty, identifying robust policies, designing and estimating value function approximations, choosing effective stepsize rules, and resolving convergence issues. With a focus on modeling and algorithms in conjunction with the language of mainstream operations research, artificial intelligence, and control theory, Approximate Dynamic Programming: Models complex, high-dimensional problems in a natural and practical way, which draws on years of industrial projects Introduces and emphasizes the power of estimating a value function around the post-decision state, allowing solution algorithms to be broken down into three fundamental steps: classical simulation, classical optimization, and classical statistics Presents a thorough discussion of recursive estimation, including fundamental theory and a number of issues that arise in the development of practical algorithms Offers a variety of methods for approximating dynamic programs that have appeared in previous literature, but that have never been presented in the coherent format of a book Motivated by examples from modern-day operations research, Approximate Dynamic Programming is an accessible introduction to dynamic modeling and is also a valuable guide for the development of high-quality solutions to problems that exist in operations research and engineering. The clear and precise presentation of the material makes this an appropriate text for advanced undergraduate and beginning graduate courses, while also serving as a reference for researchers and practitioners. A companion Web site is available for readers, which includes additional exercises, solutions to exercises, and data sets to reinforce the book's main concepts.

Advances in Guidance, Navigation and Control

Liang Yan,Haibin Duan,Yimin Deng
Advances in Guidance Navigation and Control Book PDF

Author : Liang Yan,Haibin Duan,Yimin Deng
Publisher : Springer Nature
Page : 7455 pages
File Size : 47,8 Mb
Release : 2023-02-10
Category : Technology & Engineering
ISBN : 9789811966132

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Advances in Guidance, Navigation and Control by Liang Yan,Haibin Duan,Yimin Deng Pdf

This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation and control of miniature aircraft; and sensor systems for guidance, navigation and control etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Cognitive Systems and Signal Processing

Fuchun Sun,Huaping Liu,Dewen Hu
Cognitive Systems and Signal Processing Book PDF

Author : Fuchun Sun,Huaping Liu,Dewen Hu
Publisher : Springer
Page : 619 pages
File Size : 43,6 Mb
Release : 2017-07-07
Category : Computers
ISBN : 9789811052309

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Cognitive Systems and Signal Processing by Fuchun Sun,Huaping Liu,Dewen Hu Pdf

This book constitutes the refereed proceedings of the Third International Conference on Cognitive Systems and Signal Processing, ICCSIP2016, held in Beijing, China, in December 2016. The 59 revised full papers presented were carefully reviewed and selected from 171 submissions. The papers are organized in topical sections on Control and Decision; Image and Video; Machine Learning; Robotics; Cognitive System; Cognitive Signal Processing.

Control of Complex Systems

Kyriakos Vamvoudakis,Sarangapani Jagannathan
Control of Complex Systems Book PDF

Author : Kyriakos Vamvoudakis,Sarangapani Jagannathan
Publisher : Butterworth-Heinemann
Page : 762 pages
File Size : 54,8 Mb
Release : 2016-07-27
Category : Technology & Engineering
ISBN : 9780128054376

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Control of Complex Systems by Kyriakos Vamvoudakis,Sarangapani Jagannathan Pdf

In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: “Introduction and Background on Control Theory”, “Adaptive Control and Neuroscience”, “Adaptive Learning Algorithms”, “Cyber-Physical Systems and Cooperative Control”, “Applications”. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. • Collection of chapters from several well-known professors and researchers that will showcase their recent work • Presents different state-of-the-art control approaches and theory for complex systems • Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams • Real system examples and figures throughout, make ideas concrete Includes chapters from several well-known professors and researchers that showcases their recent work Presents different state-of-the-art control approaches and theory for complex systems Explores the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals, and malicious attacks compromising the security of networked teams Serves as a helpful reference for researchers and control engineers working with machine learning, adaptive control, and automatic control systems

AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application

Vo Hoang Duy,Tran Trong Dao,Ivan Zelinka,Sang Bong Kim,Tran Thanh Phuong
AETA 2017 Recent Advances in Electrical Engineering and Related Sciences Theory and Application Book PDF

Author : Vo Hoang Duy,Tran Trong Dao,Ivan Zelinka,Sang Bong Kim,Tran Thanh Phuong
Publisher : Springer
Page : 1092 pages
File Size : 50,9 Mb
Release : 2017-11-10
Category : Technology & Engineering
ISBN : 9783319698144

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AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application by Vo Hoang Duy,Tran Trong Dao,Ivan Zelinka,Sang Bong Kim,Tran Thanh Phuong Pdf

This proceedings book gathers papers presented at the 4th International Conference on Advanced Engineering Theory and Applications 2017 (AETA 2017), held on 7–9 December 2017 at Ton Duc Thang University, Ho Chi Minh City, Vietnam. It presents selected papers on 13 topical areas, including robotics, control systems, telecommunications, computer science and more. All selected papers represent interesting ideas and collectively provide a state-of-the-art overview. Readers will find intriguing papers on the design and implementation of control algorithms for aerial and underwater robots, for mechanical systems, efficient protocols for vehicular ad hoc networks, motor control, image and signal processing, energy saving, optimization methods in various fields of electrical engineering, and others. The book also offers a valuable resource for practitioners who want to apply the content discussed to solve real-life problems in their challenging applications. It also addresses common and related subjects in modern electric, electronic and related technologies. As such, it will benefit all scientists and engineers working in the above-mentioned fields of application.