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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
  • Publsiher : Academic Press
  • Release : 21 June 2019
  • ISBN : 0128148683
  • Pages : 222 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKNon Monotonic Approach to Robust H Infinity Control of Multi Model Systems

Summary:
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


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 : 21 June 2019
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




Fuzzy Control Systems Design and Analysis

Fuzzy Control Systems Design and Analysis
  • Author : Kazuo Tanaka,Hua O. Wang
  • Publisher : John Wiley & Sons
  • Release : 07 April 2004
GET THIS BOOKFuzzy Control Systems Design and Analysis

A comprehensive treatment of model-based fuzzy controlsystems This volume offers full coverage of the systematic framework forthe stability and design of nonlinear fuzzy control systems.Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wangaddress a number of important issues in fuzzy control systems,including stability analysis, systematic design procedures,incorporation of performance specifications, numericalimplementations, and practical applications. Issues that have not been fully treated in existing texts, suchas stability analysis, systematic design, and performance analysis,are crucial to the






Optimal Sampled-Data Control Systems

Optimal Sampled-Data Control Systems
  • Author : Tongwen Chen,Bruce A. Francis
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKOptimal Sampled-Data Control Systems

Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ¿ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance




Control and Estimation of Piecewise Affine Systems

Control and Estimation of Piecewise Affine Systems
  • Author : Jun Xu,Lihua Xie
  • Publisher : Elsevier
  • Release : 21 April 2014
GET THIS BOOKControl and Estimation of Piecewise Affine Systems

As a powerful tool to study nonlinear systems and hybrid systems, piecewise affine (PWA) systems have been widely applied to mechanical systems. Control and Estimation of Piecewise Affine Systems presents several research findings relating to the control and estimation of PWA systems in one unified view. Chapters in this title discuss stability results of PWA systems, using piecewise quadratic Lyapunov functions and piecewise homogeneous polynomial Lyapunov functions. Explicit necessary and sufficient conditions for the controllability and reachability of a class


Robust Adaptive Control

Robust Adaptive Control
  • Author : Petros Ioannou,Jing Sun
  • Publisher : Courier Corporation
  • Release : 26 September 2013
GET THIS BOOKRobust Adaptive Control

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.


Feedback Systems

Feedback Systems
  • Author : Karl Johan Åström,Richard M. Murray
  • Publisher : Princeton University Press
  • Release : 12 April 2010
GET THIS BOOKFeedback Systems

This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray