This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications. 
Les mer
This book describes the research progress of the control design about strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations.
Les mer
Chapter 1 Introduction.-  Chapter 2 Control Design of Nonlinear Systems with Constant Gain.- Chapter 3 Finite Time Control of Nonlinear Systems with Time-Varying Gain.- Chapter 4 Event-Triggered Control of Nonlinear Systems with Functional Gain.- Chapter 5 Control Design of Strict-Feedback Nonholonomic Systems.- Chapter 6 Output Feedback Control of Large-Scale Nonlinear Systems.- Chapter 7 Distributed Control of Nonlinear Multi-Agent Systems.
Les mer
This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications.
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“Strict-feedback nonlinear systems remain general enough to cover a wide class of dynamical systems in practical control applications. … This book is devoted to presenting a systematic description of recent progress in stability and control of strict-feedback nonlinear systems, mainly within the gain control design framework. … the book may be helpful for some researchers who want to begin the research of strict-feedback nonlinear systems.” (Han Sheng Wu, Mathematical Reviews, December, 2023)“This book is of great interest to researchers in the fields of control theory and applied mathematics, as well as the engineers who search for advanced methodologies for practical control applications.” (Mihail Voicu, zbMATH 1519.93004, 2023)​
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Provides a new construction technique for the study of strict-feedback nonlinear systems: gain control design method Simplifies the construction procedure of controller for strict-feedback nonlinear systems Avoids tedious iterative design procedure under the gain design approach
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Produktdetaljer

ISBN
9789811983368
Publisert
2024-01-15
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter

Om bidragsyterne

Xianfu Zhang received his M.S. degree in Mathematics from the School of Mathematics Sciences, Shandong Normal University, China, in 1999, and Ph.D. degree in Operational Research and Control from the School of Mathematics, Shandong University, China, in 2005. He joined the School of Control Science and Engineering, Shandong University, China, in 2012, where he is currently Professor. From September 2008 to February 2009, he was a Visiting Scholar in the Department of Mechanical Engineering, Ecole Polytechnique de Montreal, Canada. As a Senior Research Assistant, he went to the City University of Hong Kong for short-term research six times from November 2009 to August 2016. 
His main research interests include nonlinear systems, large-scale systems, multi-agent systems, and time-delay systems. He received the Natural Science Prize of Shandong Province in 2017, and the Science and Technology Award of Chinese Association of Automation in 2022.He was recognized as the Taishan Scholar Distinguished Professor of Shandong Province in 2019.