Virtual Decomposition Control

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Virtual Decomposition Control

Virtual Decomposition Control
Author :
Publisher : Springer Science & Business Media
Total Pages : 459
Release :
ISBN-10 : 9783642107238
ISBN-13 : 3642107230
Rating : 4/5 (230 Downloads)

Book Synopsis Virtual Decomposition Control by : Wen-Hong Zhu

Download or read book Virtual Decomposition Control written by Wen-Hong Zhu and published by Springer Science & Business Media. This book was released on 2010-03-29 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driven by the need to achieve superior control performances for robots with hyper degrees of freedom, the virtual decomposition control approach is thoroughly presented in this book. This approach uses subsystem (such as links and joints of a complex robot) dynamics to conduct control design, while guaranteeing the stability and convergence of the entire complex robot without compromising the rigorousness of the system analysis. The central concept of this approach is the definition of the virtual stability. The stability of the entire complex robot is mathematically equivalent to the virtual stability of every subsystem. This fact allows us to convert a large problem to a few simple problems with mathematical certainty. This book comprises fourteen chapters. The first five chapters form the foundation of this approach. The remaining nine chapters are relatively independent. Starting from Chapter 6, each chapter deals with a particular type of systems including motor/transmission assemblies, hydraulic robots, coordinated multiple robots, space robots, humanoid robots, adaptive teleoperation, and modular robot manipulators. At the end, the extensions of this approach to distributed-parameter systems and to electrical circuits are given, paving the way for other applications to follow. This book is intended for practitioners, researchers, and graduate students who have acquired fundamental knowledge on robotics and control systems and have been committed to achieving the best control performances on complex robotics systems and beyond.


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