Sliding-Mode Control and Variable-Structure Systems
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Add to basketSold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since 22 November 2018
Condition: New
Quantity: 4 available
Add to basketThis book reflects the latest developments in sliding-mode control (SMC) and variable-structure systems (VSS), comprising contributions by leading researchers and an international range of experts. Such contributions highlight advances in various branches of the field―conventional and higher-order SMC with continuous- and discrete-time implementation and theory and applications both receive attention.
The book consists of six parts. In the first, new SMC/VSS algorithms are proposed and their properties are analyzed. The second part focuses on the use of observers to solve the estimation and output-feedback control problems. The third part discusses the discretization aspects of SMC algorithms. Parts IV and V provide important insights on the use of adaptation laws for non-overestimated control gains and chattering alleviation. The last part examines the applications of these SMC/VSS ideas to real-world systems.
Sliding-Mode Control and Variable-Structure Systems introduces postgraduates and researchers to the state of the art in the field. It includes theory, methods, and applications relevant to workers in disciplines including control, automation, applied mathematics, electrical and mechanical engineering, instrumentation, electronics, computer science, robotics, transportation, and power engineering. Its clear style and deep exposition help readers to keep in touch with tools that are, thanks to the robustness and insensitivity to perturbations of the SMC/VSS paradigm, among the most efficient for dealing with uncertain systems.
Tiago Roux Oliveira joined State University of Rio de Janeiro (UERJ), Brazil, as an Associate Professor in 2010. In 2014, he was a Visiting Scholar with the University of California - San Diego (UCSD), CA, USA. He has served as a member of the IFAC Technical Committees: Adaptive and Learning Systems (TC 1.2) and Control Design (TC 2.1), and the Technical Committee on Variable Structure and Sliding Mode Control of the IEEE Control Systems Society (CSS). In 2017, he was nominated as an Affiliate Member of the Brazilian Academy of Sciences (ABC). In 2018, he was elevated to the grade of IEEE Senior Member of the CSS. He was a recipient of the CAPES National Award of Best Thesis in Electrical Engineering, in 2011, and the FAPERJ Young Researcher Award, in 2012, 2015, and 2018. Prof. Oliveira was Guest Editor of the International Journal of Adaptive Control and Signal Processing for the Special Issue From Adaptive Control to Variable Structure Systems - Seeking Harmony. He has served as an Associate Editor for the Journal of the Franklin Institute; the Journal of Control, Automation, and Electrical Systems; the International Journal of Robust and Nonlinear Control; and Systems & Control Letters. In 2020, he was elected Chair of the Technical Committee 1.2 (Adaptive and Learning Systems) of the IFAC for the triennium 2020–2023. In 2021, he was awarded the IEEE Transactions on Control Systems Technology Outstanding Paper Award from the IEEE CSS.
Leonid Fridman has been with the Electrical Engineering Division of the Faculty of Engineering of the National Autonomous University of Mexico (UNAM) in the Department of Control Engineering and Robotics since 2002. His research interests include variable-structure systems. He is a co-author and co-editor of several books and special issues of different journals devoted to sliding-mode control. In 2014–2018 he served as Chair of the IEEE Control Systems Society Technical Committee on Variable Structure and Sliding Mode Control. He is the recipient of the Harold Chestnut Control Engineering Textbook Prize of the IFAC for his co-authored book Sliding Mode Control and Observation, winner of the National University Prize at UNAM in 2019 and Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering 2010. He has worked as an invited Professor in more than 20 universities and research laboratories of Argentina, Australia, Austria, China, France, Germany, Italy, Israel, and Spain. Currently, Professor Fridman is also an International Chair of INRIA, France, and a High-Level Foreign Expert of the Ministry of Education of the People's Republic of China.
Liu Hsu received the B.Sc. and M.Sc. degrees in electrical engineering from the Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos, Brazil, in 1968 and 1970, respectively, and the Docteur d’Etat es Sciences Physiques degree from the Université PaulSabatier, Toulouse, France in 1974. His doctoral research was developed at the LAAS/CNRS, Toulouse. He is presently with COPPE’s Electrical Engineering Department (PEE) , working in the Control Systems, Automation and Robotics area. His current research interests include adaptive control systems, variable-structure systems, sliding-mode control and observation, nonlinear systems dynamics and their applications to industrial process control and robotics, and terrestrial and underwater service robotics. Liu Hsu is a member of the Brazilian Academy of Sciences (2002). He was awarded the title of Commander (2005) and Grand Cross (2008) of the Brazilian National Order of Scientific Merit. In 2013 he became a member of the Brazilian National Academy of Engineering. He is a founding member of the Brazilian Society of Automatics (SBA- the Brazilian IFAC national member organization). He chaired the 3rd Brazilian Conference on Automatics, Rio de Janeiro, in 1980. He served as member and President of the Superior Council of SBA (1984–1990). He was an Associate Editor of the SBA scientific journals Controle & Automação; IET Control Theory and Applications; the IEEE Control Systems Magazine; and the Annals of the Brazilian Academy of Sciences. Liu Hsu is a Senior Member of the IEEE Control Systems Society. He is also a member of the IEEE CSS Technical Committee on Variable Structure and Sliding Mode Control. He received the title of professor emeritus of COPPE-UFRJ in 2017.
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