Robust Control Design with MATLAB

Robust Control Design with MATLAB

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Jan 1, 2005 · 英语 · Kindle
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书籍详情

格式 Kindle
语言 英语
已发布 Jan 1, 2005
出版商 Springerverlag London Limited
ISBN-10 1846280915
ISBN-13 9781846280917

描述

Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice. Robust Control Design with MATLABB. helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a massb"damperb"spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLABB. Robust Control Toolbox, Control System Toolbox and SimulinkB.. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. Features: b" Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. b" An abundance of examples illustrating the most important steps in robust design. On the CD-ROM: b" M-files developed with MATLABB. help you to understand the essence of robust control system design portrayed in the text-based examples. b" MDL- files for simulation of open- and closed-loop control in SimulinkB.. b" Full-colour interpretations of all suitable figures for extra clarity. Robust Control Design with MATLABB. is for graduate students and practisingengineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments. The demonstrations are current for MATLABB. version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and SimulinkB. version 6.1.

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科学与技术
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