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

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  • Publisher : Academic Press
  • Release : 21 June 2019
  • ISBN : 9780128148686
  • Page : 222 pages
  • Rating : 4.5/5 from 103 voters

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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

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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,Alireza Nasiri,Dhafer J. Almakhles,Sing Kiong Nguang
  • Publisher : Academic Press
  • Release Date : 2019-06-21
  • ISBN : 9780128148686
GET THIS BOOKNon-Monotonic Approach to Robust H-Infinity Control of Multi-Model Systems

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

Non-monotonic Approach to Robust H∞ Control of Multi-model Systems

Non-monotonic Approach to Robust H∞ Control of Multi-model Systems
  • Author : Jiwei Wen,Alireza Nasiri,Sing Kiong Nguang,Dhafer J. Almakhles
  • Publisher : Academic Press
  • Release Date : 2019-06-06
  • ISBN : 9780128148693
GET THIS BOOKNon-monotonic Approach to Robust H∞ Control of Multi-model Systems

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

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  • Publisher : Unknown
  • Release Date : 1992
  • ISBN : UIUC:30112078757413
GET THIS BOOKScientific and Technical Aerospace Reports

International Aerospace Abstracts

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GET THIS BOOKIterative Learning Control

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.

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"Stability Analysis and Robust Control of Time-Delay Systems" focuses on essential aspects of this field, including the stability analysis, stabilization, control design, and filtering of various time-delay systems. Primarily based on the most recent research, this monograph presents all the above areas using a free-weighting matrix approach first developed by the authors. The effectiveness of this method and its advantages over other existing ones are proven theoretically and illustrated by means of various examples. The book will give readers an

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  • Publisher : Princeton University Press
  • Release Date : 2021-02-02
  • ISBN : 9780691213477
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The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques

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  • Release Date : 2017-07-10
  • ISBN : 9780081019023
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Analysis and Synthesis of Polynomial Discrete-time Systems: An SOS Approach addresses the analysis and design of polynomial discrete-time control systems. The book deals with the application of Sum of Squares techniques in solving specific control and filtering problems that can be useful to solve advanced control problems, both on the theoretical side and on the practical side. Two types of controllers, state feedback controller and output feedback controller, along with topics surrounding the nonlinear filter and the H-infinity performance criteria

Iterative Learning Control

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  • Author : Hyo-Sung Ahn,Kevin L. Moore,YangQuan Chen
  • Publisher : Springer
  • Release Date : 2010-10-19
  • ISBN : 1849966583
GET THIS BOOKIterative Learning Control

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.

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  • Release Date : 2013-09-26
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Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.

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  • Publisher : Unknown
  • Release Date : 1995
  • ISBN : UCSD:31822032924078
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  • Author : Stephen P. Boyd,Craig H. Barratt
  • Publisher : Unknown
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