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

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  • Author : Jiwei Wen
  • Publisher : Academic Press
  • Pages : 222 pages
  • ISBN : 0128148683
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Non Monotonic Approach to Robust H Infinity Control of Multi Model Systems

Download or Read online Non Monotonic Approach to Robust H Infinity Control of Multi Model Systems full in PDF, ePub and kindle. this book written by Jiwei Wen and published by Academic Press which was released on 21 June 2019 with total page 222 pages. We cannot guarantee that Non Monotonic Approach to Robust H Infinity Control of Multi Model Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 BOOK Non 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 : 06 June 2019
GET THIS BOOK Non 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

Iterative Learning Control

Iterative Learning Control
  • Author : Hyo-Sung Ahn,Kevin L. Moore,YangQuan Chen
  • Publisher : Springer
  • Release : 19 October 2010
GET THIS BOOK Iterative 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.