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Titlebook: Analysis and Synthesis of Nonlinear Control Systems; A Convex Optimisatio Miguel Bernal,Antonio Sala,Thierry Marie Guerra Book 2022 The Edi

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發(fā)表于 2025-3-21 17:07:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Analysis and Synthesis of Nonlinear Control Systems
期刊簡(jiǎn)稱A Convex Optimisatio
影響因子2023Miguel Bernal,Antonio Sala,Thierry Marie Guerra
視頻videohttp://file.papertrans.cn/157/156281/156281.mp4
發(fā)行地址Provides an overview of latest developments within synthesis of convex-optimization-based control of nonlinear systems.Offers both background information and up-to-date research, making it a self-cont
學(xué)科分類Studies in Systems, Decision and Control
圖書封面Titlebook: Analysis and Synthesis of Nonlinear Control Systems; A Convex Optimisatio Miguel Bernal,Antonio Sala,Thierry Marie Guerra Book 2022 The Edi
影響因子.This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures..Analysis and Synthesis of Nonlinear Control Systems. begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi–Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems..
Pindex Book 2022
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I. Scollar,T. S. Huang,B. Weidner,G. Tang in which they first appeared; others are generalisations or derivative structures of the original one. Their common characteristic is the presence of convex structures of the state, time, or exogenous parameters. Since this book is focussed on model-based approaches, different methods are presented
地板
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https://doi.org/10.1007/978-3-322-81248-3ndard or descriptor form; closely related results for . (LFT) models are also visited. We begin by focussing on the application of direct Lyapunov method to derive stability conditions for TS models; if the reader is not familiar with Lyapunov stability, reading Appendix B is strongly advised. In th
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Einsatzbereiche des E-Business, with the LPV community; on the other hand, it focuses on model-based nonlinear control via convex optimisation, thus getting rid of most “approximate” perspectives. The direct Lyapunov method and a variety of convex models lie at the core of its developments. Admittedly, it fell short from integrat
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發(fā)表于 2025-3-23 04:49:29 | 只看該作者
Miguel Bernal,Antonio Sala,Thierry Marie GuerraProvides an overview of latest developments within synthesis of convex-optimization-based control of nonlinear systems.Offers both background information and up-to-date research, making it a self-cont
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