Derong Liu's Books

Adaptive Dynamic Programming for Control

Algorithms and Stability

By: Huaguang Zhang,Derong Liu,Yanhong Luo,Ding Wang

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Adaptive Dynamic Programming for Control

Algorithms and Stability

By: Huaguang Zhang,Derong Liu,Yanhong Luo,Ding Wang

There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: • infinite-horizon control for which the difficulty of solving partial differential Hamilton–Jacobi–Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; • finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; • nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: • establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; • demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and • shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.

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432

Publisher

Springer Science & Business Media

Published Date

ISBN 10

144714757X

ISBN 13

9781447147572

Fundamentals of Computational Intelligence

Neural Networks, Fuzzy Systems, and Evolutionary Computation

By: James M. Keller,Derong Liu,David B. Fogel

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Fundamentals of Computational Intelligence

Neural Networks, Fuzzy Systems, and Evolutionary Computation

By: James M. Keller,Derong Liu,David B. Fogel

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

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Page Count

378

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119214351

ISBN 13

9781119214359

Advances in Ultrafast Optics

By: Fei He,Derong Li,Wei Quan,Shufeng Wang,Zhiyi Wei,Heping Zeng

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Advances in Ultrafast Optics

By: Fei He,Derong Li,Wei Quan,Shufeng Wang,Zhiyi Wei,Heping Zeng

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Page Count

575

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110382830

ISBN 13

9783110382839

Metaphorical Metaphysics in Chinese Philosophy

Illustrated with Feng Youlan's New Metaphysics

By: Derong Chen

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Metaphorical Metaphysics in Chinese Philosophy

Illustrated with Feng Youlan's New Metaphysics

By: Derong Chen

In Metaphorical Metaphysics in Chinese Philosophy: Illustrated with Feng Youlan's New Metaphysics, Derong Chen examines Chinese philosophy through a critical analysis of Feng Youlan's nnew metaphysics. He views metaphysics in Chinese philosophy as a metaphorical metaphysics separate from Western metaphysics. In examining the historical influences and contemporary reaction to Feng's work, he identify's Feng's system as the continuation of the Chinese philosophical tradition. This approach is most applicable to scholars of comparative philosophy and Chinese philosophy.

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269

Publisher

Lexington Books

Published Date

ISBN 10

0739166727

ISBN 13

9780739166727

Reconstructing Metaphorical Metaphysics in Traditional Chinese Philosophy

Meta-One and Harmony

By: Derong Chen

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Reconstructing Metaphorical Metaphysics in Traditional Chinese Philosophy

Meta-One and Harmony

By: Derong Chen

This book proposes three new metaphysical categories: Meta-One (元一), Multi-One (殊一), and Utter-One (全一). The author argues that this new system of metaphorical metaphysics is rooted in and developed from traditional Chinese philosophy and is the metaphysical foundation of twenty-first century philosophy.

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Page Count

211

Publisher

Lexington Books

Published Date

ISBN 10

1666922056

ISBN 13

9781666922059

Controlling Chaos

Suppression, Synchronization and Chaotification

By: Huaguang Zhang,Derong Liu,Zhiliang Wang

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Controlling Chaos

Suppression, Synchronization and Chaotification

By: Huaguang Zhang,Derong Liu,Zhiliang Wang

Controlling Chaos achieves three goals: the suppression, synchronisation and generation of chaos, each of which is the focus of a separate part of the book. The text deals with the well-known Lorenz, Rössler and Hénon attractors and the Chua circuit and with less celebrated novel systems. Modelling of chaos is accomplished using difference equations and ordinary and time-delayed differential equations. The methods directed at controlling chaos benefit from the influence of advanced nonlinear control theory: inverse optimal control is used for stabilization; exact linearization for synchronization; and impulsive control for chaotification. Notably, a fusion of chaos and fuzzy systems theories is employed. Time-delayed systems are also studied. The results presented are general for a broad class of chaotic systems. This monograph is self-contained with introductory material providing a review of the history of chaos control and the necessary mathematical preliminaries for working with dynamical systems.

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Page Count

357

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1848825234

ISBN 13

9781848825239

Adaptive Dynamic Programming with Applications in Optimal Control

By: Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li

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Adaptive Dynamic Programming with Applications in Optimal Control

By: Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li

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.

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Page Count

609

Publisher

Springer

Published Date

ISBN 10

3319508156

ISBN 13

9783319508153

Advances in Computational Intelligence

Theory & Applications

By: Fei-Yue Wang,Derong Liu

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Advances in Computational Intelligence

Theory & Applications

By: Fei-Yue Wang,Derong Liu

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Page Count

478

Publisher

World Scientific

Published Date

ISBN 10

9812567348

ISBN 13

9789812567345

Networked Control Systems

Theory and Applications

By: Fei-Yue Wang,Derong Liu

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Networked Control Systems

Theory and Applications

By: Fei-Yue Wang,Derong Liu

Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS. The applications of NCS range from the large scale of factory automation and plant monitoring to the smaller networks of computers in modern cars, places and autonomous robots. Networked Control Systems presents recent results in stability and robustness analysis and new developments related to networked fuzzy and optimal control. Many chapters contain case-studies, experimental, simulation or other application-related work showing how the theories put forward can be implemented. The state-of-the art research reported in this volume by an international team of contributors makes it an essential reference for researchers and postgraduate students in control, electrical, computer and mechanical engineering and computer science.

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352

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1848002157

ISBN 13

9781848002159

Adaptive Dynamic Programming for Control

Algorithms and Stability

By: Huaguang Zhang,Derong Liu,Yanhong Luo,Ding Wang

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Adaptive Dynamic Programming for Control

Algorithms and Stability

By: Huaguang Zhang,Derong Liu,Yanhong Luo,Ding Wang

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Page Count

432

Publisher

Springer Science & Business Media

Published Date

ISBN 10

144714757X

ISBN 13

9781447147572

Adaptive Dynamic Programming with Applications in Optimal Control

By: Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li

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Adaptive Dynamic Programming with Applications in Optimal Control

By: Derong Liu,Qinglai Wei,Ding Wang,Xiong Yang,Hongliang Li

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609

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Springer

Published Date

ISBN 10

3319508156

ISBN 13

9783319508153

Stability and Control of Dynamical Systems with Applications

A Tribute to Anthony N. Michel

By: Derong Liu,Panos J. Antsaklis

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Stability and Control of Dynamical Systems with Applications

A Tribute to Anthony N. Michel

By: Derong Liu,Panos J. Antsaklis

It is with great pleasure that I offer my reflections on Professor Anthony N. Michel's retirement from the University of Notre Dame. I have known Tony since 1984 when he joined the University of Notre Dame's faculty as Chair of the Depart ment of Electrical Engineering. Tony has had a long and outstanding career. As a researcher, he has made im portant contributions in several areas of systems theory and control theory, espe cially stability analysis of large-scale dynamical systems. The numerous awards he received from the professional societies, particularly the Institute of Electrical and Electronics Engineers (IEEE), are a testament to his accomplishments in research. He received the IEEE Control Systems Society's Best Transactions Paper Award (1978), and the IEEE Circuits and Systems Society's Guillemin-Cauer Prize Paper Award (1984) and Myril B. Reed Outstanding Paper Award (1993), among others. In addition, he was a Fulbright Scholar (1992) and received the Alexander von Hum boldt Forschungspreis (Alexander von Humboldt Research Award for Senior U.S. Scientists) from the German government (1997). To date, he has written eight books and published over 150 archival journal papers. Tony is also an effective administrator who inspires high academic standards.

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474

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Springer Science & Business Media

Published Date

ISBN 10

0817632336

ISBN 13

9780817632335

Qualitative Analysis and Synthesis of Recurrent Neural Networks

By: Anthony Michel,Derong Liu

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Qualitative Analysis and Synthesis of Recurrent Neural Networks

By: Anthony Michel,Derong Liu

Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance.

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Page Count

503

Publisher

CRC Press

Published Date

ISBN 10

1482275783

ISBN 13

9781482275780

Advances in Computational Intelligence

Theory & Applications

By: Fei-Yue Wang,Derong Liu

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Advances in Computational Intelligence

Theory & Applications

By: Fei-Yue Wang,Derong Liu

Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to achieve tractability, robustness and low solution cost, it becomes evident that composing methods of CI should be working concurrently rather than separately. It is this conviction that research on the synergism of CI paradigms has experienced significant growth in the last decade with some areas nearing maturity while many others remaining unresolved. This book systematically summarizes the latest findings and sheds light on the respective fields that might lead to future breakthroughs. Contents: A Quest for Granular Computing and Logic Processing (W Pedrycz); Abstraction and Linguistic Analysis of Conventional Numerical Dynamic Systems (F-Y Wang); Slicing: A Distributed Learning Approach (S A Eschrich & L O Hall); Marginal Learning Algorithms in Statistical Machine Learning (Q Tao & J Wang); Constraint Handling in Genetic Algorithm for Optimization (G G Yen); Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems (X Cai et al.); Modular Wavelet-Fuzzy Networks (Y Lin & F-Y Wang); Ant Colony Algorithms: The State-of-the-Art (J Zhang et al.); Motif Discoveries in DNA and Protein Sequences Using Self-Organizing Neural Networks (D Liu & X Xiong); Computational Complexities of Combinatorial Problems with Applications to Reverse Engineering of Biological Networks (P Berman et al.); Advances in Fingerprint Recognition Algorithms with Application (J Tian et al.); Adaptation and Predictive Control Observed in Neuromuscular Control Systems (J He); Robust Adaptive Approximation Based Backstepping via Localized Adaptive Bounding (Y Zhao & J A Farrell); Dynamically Connected Fuzzy Single Input Rule Modules and Application to Underactuated Systems (J Yi et al.). Readership: Researchers, graduate and senior level undergraduate students in electrical & electronic engineering, computer engineering, neural networks, fuzzy logic and artificial intelligence.

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478

Publisher

World Scientific

Published Date

ISBN 10

9812773924

ISBN 13

9789812773920

Fundamentals of Computational Intelligence

Neural Networks, Fuzzy Systems, and Evolutionary Computation

By: James M. Keller,Derong Liu,David B. Fogel

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Fundamentals of Computational Intelligence

Neural Networks, Fuzzy Systems, and Evolutionary Computation

By: James M. Keller,Derong Liu,David B. Fogel

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378

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119214343

ISBN 13

9781119214342

Advances In Computational Intelligence: Theory And Applications

By: Fei-yue Wang,Derong Liu

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Advances In Computational Intelligence: Theory And Applications

By: Fei-yue Wang,Derong Liu

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478

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World Scientific

Published Date

ISBN 10

9814478288

ISBN 13

9789814478281

Dynamical Systems with Saturation Nonlinearities

Analysis and Design

By: Derong Liu,Anthony N. Michel

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Dynamical Systems with Saturation Nonlinearities

Analysis and Design

By: Derong Liu,Anthony N. Michel

This three-part monograph addresses topics in the areas of control systems, signal processing and neural networks. Procedures and results are determined which constitute the first successful synthesis procedure for associative memories by means of artificial neural networks with arbitrarily pre-specified full or partial interconnecting structure and with or without symmetry constraints for the connection matrix.

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197

Publisher

Springer

Published Date

ISBN 10

3662161907

ISBN 13

9783662161906

Controlling Chaos

Suppression, Synchronization and Chaotification

By: Huaguang Zhang,Derong Liu,Zhiliang Wang

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Controlling Chaos

Suppression, Synchronization and Chaotification

By: Huaguang Zhang,Derong Liu,Zhiliang Wang

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357

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1848825234

ISBN 13

9781848825239

Stability of Dynamical Systems

On the Role of Monotonic and Non-Monotonic Lyapunov Functions

By: Anthony N. Michel,Ling Hou,Derong Liu

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Stability of Dynamical Systems

On the Role of Monotonic and Non-Monotonic Lyapunov Functions

By: Anthony N. Michel,Ling Hou,Derong Liu

The second edition of this textbook provides a single source for the analysis of system models represented by continuous-time and discrete-time, finite-dimensional and infinite-dimensional, and continuous and discontinuous dynamical systems. For these system models, it presents results which comprise the classical Lyapunov stability theory involving monotonic Lyapunov functions, as well as corresponding contemporary stability results involving non-monotonic Lyapunov functions. Specific examples from several diverse areas are given to demonstrate the applicability of the developed theory to many important classes of systems, including digital control systems, nonlinear regulator systems, pulse-width-modulated feedback control systems, and artificial neural networks. The authors cover the following four general topics: - Representation and modeling of dynamical systems of the types described above - Presentation of Lyapunov and Lagrange stability theory for dynamical systems defined on general metric spaces involving monotonic and non-monotonic Lyapunov functions - Specialization of this stability theory to finite-dimensional dynamical systems - Specialization of this stability theory to infinite-dimensional dynamical systems Replete with examples and requiring only a basic knowledge of linear algebra, analysis, and differential equations, this book can be used as a textbook for graduate courses in stability theory of dynamical systems. It may also serve as a self-study reference for graduate students, researchers, and practitioners in applied mathematics, engineering, computer science, economics, and the physical and life sciences. Review of the First Edition: “The authors have done an excellent job maintaining the rigor of the presentation, and in providing standalone statements for diverse types of systems. [This] is a very interesting book which complements the existing literature. [It] is clearly written, and difficult concepts are illustrated by means of good examples.” - Alessandro Astolfi, IEEE Control Systems Magazine, February 2009

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Page Count

669

Publisher

Springer

Published Date

ISBN 10

3319152750

ISBN 13

9783319152752

Fuzzy Modeling and Fuzzy Control

By: Huaguang Zhang,Derong Liu

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Fuzzy Modeling and Fuzzy Control

By: Huaguang Zhang,Derong Liu

Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world problems, especially in the area of consumer products. This book presents the first comprehensive, unified treatment of fuzzy modeling and fuzzy control, providing tools for the control of complex nonlinear systems. Coverage includes model complexity, model precision, and computing time. This is an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, and also useful for graduate courses in electrical engineering, computer engineering, and computer science.

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Page Count

423

Publisher

Springer Science & Business Media

Published Date

ISBN 10

081764539X

ISBN 13

9780817645397

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