T�tulo: Advances in Robust Control and Applications (Studies in Systems, Decision and Control, 474)
Editor: Springer
Fecha de publicaci�n: 2023
Idioma: Ingl�s
ISBN 10: 9819934621
ISBN 13: 9789819934621
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

The book presents recent applications and developments in the field of control of industrial systems, covering a wide range of modeling and feedback control using various robust approaches such as fuzzy systems, sliding mode control, and H-infinity.

This book provides insights into theory, applications, and perspectives relevant to the field of robotic systems, exoskeletons, power systems, photovoltaic systems, etc., as well as general methodologies and paradigms around them. Each chapter provides an enriched understanding of a research topic along with a balanced treatment of the relevant theories, methods, or applications. It reports on the latest advances in the field.

This book is a good reference for graduate students, researchers, educators, engineers, and scientists and contains a total of 15 chapters divided into five parts as follows. The first part of this book focuses on the application of fuzzy control to robotic systems and consists of three chapters. The second part of this book proposes the control of lower and upper limb exoskeletons and includes two chapters. The third part is dedicated to the control of power systems and comprises three chapters. The fourth part deals with various approaches to the modeling and control of industrial processes and comprises four chapters. The fifth and final part describes observers and fault-tolerant control systems and comprises five chapters.

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Nabil Derbel was born in Sfax (Tunisia) in April 1962. He received his engineering Diploma from the Ecole Nationale d'Ing�nieurs de Sfax in 1986, the Dipl�me d'Etudes Approfondies in Automatic control from the Institut National des Sciences Appliqu�es de Toulouse in 1986, the Doctorat d'Universit� degree from the Laboratoire d'Automatique et d'Analyse des Syst�mes de Toulouse in 1989, and the Doctorat d'Etat degree from the Ecole Nationale d'Ing�nieurs de Tunis. He joined the Tunisian University in 1989, where he held different position involved in research and education. Currently, he is a full Professor (First Class) of Automatic Control at the Ecole Nationale d'Ing�nieurs de Sfax. His current interests include: Optimal Control, Complex Systems, Robotic Systems, Power Systems.

Ahmed Sa�d NOURI received his thesis degree in Electrical Engineering from the National Institute of Applied Sciences of Toulouse-France, in 1994. He is Full Professorin Automatic Control at the National School of Engineers of Sfax - Tunisia. He was Department Director of the Electrical Engineering Department of National School of Engineers of Gab�s-Tunisia. He is a member of the Research Laboratory of Numerical Control of Industrial Processes. He was the general secretary of the Tunisian Association of Automatic Control and Digitalization. General chair of SSD’23. His research is on Nonlinear of dynamic systems, Sliding mode control, Nonlinear systems. He is the co-author of a book on sliding Mode Control edited by Springer - Verlag, March 2006 and he is the author of more than 50 publications.

Quanmin Zhu is Professor in control systems at the School of Engineering, University of the West of England, Bristol, UK. He obtained his M.Sc. in Harbin Institute of Technology, China, in 1983, Ph.D. in Faculty of Engineering, University of Warwick, UK, in 1989, and worked as Postdoctoral Research Associate at the Department of automatic control and systems engineering, University of Sheffield, UK, between 1989 and 2994. His main research interest is in nonlinear system modeling, identification, and control. He has published over 300 papers on these topics, edited various books with Springer, Elsevier, and the other publishers and provided consultancy to various industries. Currently, Professor Zhu is acting as Editor of Elsevier book series of Emerging Methodologies and Applications in Modelling, Identification and Control.

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