Advances in Robust Control and Applications

2023
ISBN: 978-981-99-3465-2
Verlag: Springer Nature Singapore

Buch, Englisch, Band 474, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g

Reihe: Studies in Systems, Decision and Control

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 threechapters. 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.

Zielgruppe

Graduate

Autoren/Hrsg.

Derbel, Nabil

Zhu, Quanmin

Nouri, Ahmed Said

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie

Inhaltsverzeichnis

An integrated exoskeleton-upper limb system: modeling, control, stability study and robustness analysis.- Control of Lower Limb Rehabilitation Exoskeleton for stroke patients in Contact Environments.- SOS-based Robust Control Design Subject to Actuator Saturation for Maximum Power Point Tracking of Photovoltaic System.- Nonlinear optimal control for residential microgrids with Wind Generators, Fuel Cells and PVs.- Nonlinear optimal control for VSI-fed three-phase asynchronous motors.- Photovoltaic energy fed DC motor for water pump.- A Robust Linear Feedback Control of PEMFC’s Air Feed System.- Robust saturated control based static output feedback for steering control of the autonomous vehicle via non quadratic Lyapunov function.- Robust Constrained Gain-Scheduled Static Output Feedback Controller for NLPV Descriptor Systems Subject to State and Input Constraints.- A Constrained Optimal Control Strategy for Switched Nonlinear Systems Based on Metaheuristic Algorithms.- Robustness Analysis of a Discrete Integral Sliding Mode Controller for DC-DC Buck Converter using Input-Output Measurement.- Fault Tolerant Control for uncertain neutral time-delay system.- Observability Bound of Discrete-Time Linear Multivariable Singularly Perturbed System.- Type-1 and Type-2 Fuzzy Techniques: Application to Robotic Systems.- Design of Interval Type 2 Fuzzy Adaptive Sliding Mode Control.- Robust Nonfragile Control Strategies for Bilinear Uncertain Fuzzy Systems Based on Proportional PDC Approach.

Über Autor(innen)

Nabil Derbel was born in Sfax (Tunisia) in April 1962. He received his engineering Diploma from the Ecole Nationale d'Ingénieurs de Sfax in 1986, the Diplôme d'Etudes Approfondies in Automatic control from the Institut National des Sciences Appliquées de Toulouse in 1986, the Doctorat d'Université degree from the Laboratoire d'Automatique et d'Analyse des Systèmes de Toulouse in 1989, and the Doctorat d'Etat degree from the Ecole Nationale d'Ingénieurs 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'Ingénieurs de Sfax. His current interests include: Optimal Control, Complex Systems, Robotic Systems, Power Systems.

Ahmed Saïd 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 Gabès-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.