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Nonlinear H2/H-Infinity Constrained Feedback Control

Nonlinear H2/H-Infinity Constrained Feedback Control
Author: Murad Abu-Khalaf
Publisher: Springer Science & Business Media
Total Pages: 218
Release: 2006-08-02
Genre: Technology & Engineering
ISBN: 1846283507

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This book provides techniques to produce robust, stable and useable solutions to problems of H-infinity and H2 control in high-performance, non-linear systems for the first time. The book is of importance to control designers working in a variety of industrial systems. Case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs is explained.


Nonlinear H2/H-Infinity Constrained Feedback Control

Nonlinear H2/H-Infinity Constrained Feedback Control
Author: Murad Abu-Khalaf
Publisher: Springer
Total Pages: 0
Release: 2006-08-02
Genre: Technology & Engineering
ISBN: 9781846283505

Download Nonlinear H2/H-Infinity Constrained Feedback Control Book in PDF, ePub and Kindle

This book provides techniques to produce robust, stable and useable solutions to problems of H-infinity and H2 control in high-performance, non-linear systems for the first time. The book is of importance to control designers working in a variety of industrial systems. Case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs is explained.


Extending H-infinity Control to Nonlinear Systems

Extending H-infinity Control to Nonlinear Systems
Author: J. William Helton
Publisher: SIAM
Total Pages: 340
Release: 1999-01-01
Genre: Technology & Engineering
ISBN: 0898714400

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H-infinity control made considerable strides toward systematizing classical control. This bookaddresses how this extends to nonlinear systems.


H-infinity Control for Nonlinear Descriptor Systems

H-infinity Control for Nonlinear Descriptor Systems
Author: He-Sheng Wang
Publisher: Springer Science & Business Media
Total Pages: 182
Release: 2006-01-18
Genre: Technology & Engineering
ISBN: 9781846282898

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The authors present a study of the H-infinity control problem and related topics for descriptor systems, described by a set of nonlinear differential-algebraic equations. They derive necessary and sufficient conditions for the existence of a controller solving the standard nonlinear H-infinity control problem considering both state and output feedback. One such condition for the output feedback control problem to be solvable is obtained in terms of Hamilton–Jacobi inequalities and a weak coupling condition; a parameterization of output feedback controllers solving the problem is also provided. All of these results are then specialized to the linear case. The derivation of state-space formulae for all controllers solving the standard H-infinity control problem for descriptor systems is proposed. Among other important topics covered are balanced realization, reduced-order controller design and mixed H2/H-infinity control. "H-infinity Control for Nonlinear Descriptor Systems" provides a comprehensive introduction and easy access to advanced topics.


Handbook of Reinforcement Learning and Control

Handbook of Reinforcement Learning and Control
Author: Kyriakos G. Vamvoudakis
Publisher: Springer Nature
Total Pages: 833
Release: 2021-06-23
Genre: Technology & Engineering
ISBN: 3030609901

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This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.


Optimal Control

Optimal Control
Author: Frank L. Lewis
Publisher: John Wiley & Sons
Total Pages: 552
Release: 2012-02-01
Genre: Technology & Engineering
ISBN: 0470633492

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A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years. An abundance of computer simulations using MATLAB and relevant Toolboxes is included to give the reader the actual experience of applying the theory to real-world situations. Major topics covered include: Static Optimization Optimal Control of Discrete-Time Systems Optimal Control of Continuous-Time Systems The Tracking Problem and Other LQR Extensions Final-Time-Free and Constrained Input Control Dynamic Programming Optimal Control for Polynomial Systems Output Feedback and Structured Control Robustness and Multivariable Frequency-Domain Techniques Differential Games Reinforcement Learning and Optimal Adaptive Control


Mechatronics 2017 - Ideas for Industrial Applications

Mechatronics 2017 - Ideas for Industrial Applications
Author: Jerzy Świder
Publisher: Springer
Total Pages: 486
Release: 2019-03-27
Genre: Technology & Engineering
ISBN: 3030158578

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This book is devoted to the latest research results obtained by scientists and practitioners, who work on the development and applications of mechatronics, in particular in industrial practice. The topics included in the book cover such areas and issues as: measurement techniques in phenomena and mechatronic problems, robotics and design of mechatronic systems, research and application of mechatronics in medicine and sports, modern applications of mechatronics in rapidly changing modern mining, which puts strict demands on safety of people and the environment, application of mechatronics in the automotive industry in the design and production process of modern cars, defense technologies, extremely demanding aerospace industry, contemporary food industry, as well as didactics of mechatronics lead at different universities in the paradigm of Industry 4.0.


Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
Author: Xiao-Heng Chang
Publisher: Springer Science & Business
Total Pages: 254
Release: 2014-05-02
Genre: Technology & Engineering
ISBN: 3642551076

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"Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique. Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems. Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, China.


High-Gain Observers in Nonlinear Feedback Control

High-Gain Observers in Nonlinear Feedback Control
Author: Hassan H. Khalil
Publisher: SIAM
Total Pages: 330
Release: 2017-06-23
Genre: Mathematics
ISBN: 1611974852

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For over a quarter of a century, high-gain observers have been used extensively in the design of output feedback control of nonlinear systems. This book presents a clear, unified treatment of the theory of high-gain observers and their use in feedback control. Also provided is a discussion of the separation principle for nonlinear systems; this differs from other separation results in the literature in that recovery of stability as well as performance of state feedback controllers is given. The author provides a detailed discussion of applications of high-gain observers to adaptive control and regulation problems and recent results on the extended high-gain observers. In addition, the author addresses two challenges that face the implementation of high-gain observers: high dimension and measurement noise. Low-power observers are presented for high-dimensional systems. The effect of measurement noise is characterized and techniques to reduce that effect are presented. The book ends with discussion of digital implementation of the observers. Readers will find comprehensive coverage of the main results on high-gain observers; rigorous, self-contained proofs of all results; and numerous examples that illustrate and provide motivation for the results. The book is intended for engineers and applied mathematicians who design or research feedback control systems.


Non-Monotonic Approach to Robust H-Infinity Control of Multi-Model Systems

Non-Monotonic Approach to Robust H-Infinity Control of Multi-Model Systems
Author: Jiwei Wen
Publisher: Academic Press
Total Pages: 222
Release: 2019-06-21
Genre: Technology & Engineering
ISBN: 0128148683

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Non-monotonic Approach to Robust H∞ Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H∞ state feedback control, H∞ filtering and H∞ output feedback control for multi-model systems via a non-monotonic LF approach. The book's authors provide illustrative examples to show the feasibility and efficiency of the proposed methods, along with practical examples that demonstrate the effectiveness and potential of theoretical results. Offers tools for the analysis and design of control processes where the process can be represented by multi-models Presents a comprehensive explanation of recent developments in non-monotonic approaches to robust H-infinity control of multi-model systems Gives numerical examples and simulation results in each chapter to demonstrate engineering potential