Written for researchers, students, and scientists, Zonotopes focuses on two significant problems in automatic control: state estimation and robust model predictive control under input and state constraints, and bounded perturbations and noise, based on a zonotopic set-membership approach. Num Pages: 166 pages, illustrations. BIC Classification: PBM. Category: (P) Professional & Vocational. Dimension: 163 x 234 x 20. Weight in Grams: 452. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Zonotopes: From Guaranteed State-estimation to Control
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publication Date: 2013
Language: English
ISBN 10: 1848215894
ISBN 13: 9781848215894
Binding: Hardcover
Condition: New

About this title

Synopsis

This title focuses on two significant problems in the field of automatic control, in particular state estimation and robust Model Predictive Control under input and state constraints, bounded disturbances and measurement noises. The authors build upon previous results concerning zonotopic set-membership state estimation and output feedback tube-based Model Predictive Control. Various existing zonotopic set-membership estimation methods are investigated and their advantages and drawbacks are discussed, making this book suitable both for researchers working in automatic control and industrial partners interested in applying the proposed techniques to real systems.

The authors proceed to focus on a new method based on the minimization of the P-radius of a zonotope, in order to obtain a good trade-off between the complexity and the accuracy of the estimation. They propose a P-radius based set-membership estimation method to compute a zonotope containing the real states of a system, which are consistent with the disturbances and measurement noise. The problem of output feedback control using a zonotopic set-membership estimation is also explored. Among the approaches from existing literature on the subject, the implementation of robust predictive techniques based on tubes of trajectories is developed.

About the Author

Cristina STOICA is Assistant Professor at Automatic Control Department, SUPELEC Systems Sciences (E3S), Gif-sur-Yvette, France.

Vu Tuan Hieu LE – Postdoctoral position, Unit� de Recherche Informatique Automatique, Ecole des Mines de Douai, France.

Teodoro ALAMO – Professor, Department of Ingenieria de Sistemas y Automatica, Universidad de Sevilla, Spain.

Eduardo F. CAMACHO – Professor, Department of Ingenieria de Sistemas y Automatica, Universidad de Sevilla, Spain.

Didier DUMUR – Professor, Automatic Control Department, SUPELEC Systems Sciences (E3S), Gif-sur-Yvette, France.

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