Observer Design for Nonlinear Dynamical Systems / Lecture Notes in Control and Information Sciences Bd.487 (PDF)
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This book presents a differential geometric method for designing nonlinear observers for multiple types of nonlinear systems, including single and multiple outputs, fully and partially observable systems, and regular and singular dynamical systems. It is an exposition of achievements in nonlinear observer normal forms.
The book begins by discussing linear systems, introducing the concept of observability and observer design, and then explains the difficulty of those problems for nonlinear systems. After providing foundational information on the differential geometric method, the text shows how to use the method to address observer design problems. It presents methods for a variety of systems. The authors employ worked examples to illustrate the ideas presented.
Observer Design for Nonlinear Dynamical Systems will be of interest to researchers, graduate students, and industrial professionals working with control of mechanical and dynamical systems.
Dr. Gang Zheng received his Ph.D. degree in automatic control from the University of Cergy-Pontoise (France) in 2006. Since 2007, he has held several postdoctoral positions at Inria Grenoble, at LJK/CNRS and at ENSEA. He is currently a full-time scientific researcher of Inria Lille. He obtained the habilitation of research (HDR) from the University of Science and Technology of Lille in 2015. He has held several Visiting Professor positions at Zhejiang University in 2013, at Wuhan University in 2014, and at Nanjing University of Science and Technology since 2015. His research interests include control and observation of nonlinear dynamical systems, and its application to robotics. He is a senior member of IEEE, and has co-authored more than 150 publications in his area of research.
- Autoren: Driss Boutat , Gang Zheng
- 2021, 1st ed. 2021, 192 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 303073742X
- ISBN-13: 9783030737429
- Erscheinungsdatum: 02.07.2021
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- Größe: 2.73 MB
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