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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 MATLAB® 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 mass-damper-spring assembly, to complex systems like a flexible-link manipulator are…mehr

Produktbeschreibung
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 MATLAB® 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 mass-damper-spring assembly, to complex systems like a flexible-link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®. 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: . Hands-on, tutorial presentation giving you the opportunity to repeat the designs presented and easily to modify them for your own programs. . An abundance of examples illustrating the most important steps in robust design. Robust Control Design with MATLAB® is for graduate students and practising engineers 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 MATLAB® version 7.01, Robust Control Toolbox version 3.0, Control System Toolbox version 6.1 and Simulink® version 6.1.


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Autorenporträt
Da-Wei Gu has held lecturing positions at Shanhai Jiao Tong and Oxford Universities and is now a Reader in Leicester. He has been involved in many industrial projects, mainly in the aerospace and manufacturing sectors. He is the co-author of Perturbation Theory for Matrix Equations (North-Holland/Elsevier) 0-444-51315-9 in addition to his over 120 refereed journal and conference papers. Doctor Gu received a prestigious JSPS fellowship from the Japanese Government in 1997. He is a founder member of NICONET, the EU network for reliable software for control engineering. Doctor Gu is a Chartered Engineer and a member of the IEE.