Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
Author :
Publisher : Academic Press
Total Pages : 338
Release :
ISBN-13 : 9780128136843
ISBN-10 : 0128136847
Rating : 4/5 (47 Downloads)

Book Synopsis Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics by : Jing Na

Download or read book Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics written by Jing Na and published by Academic Press. This book was released on 2018-06-12 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering. - Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics - Provides practical application and experimental results for robotic systems, and servo motors


Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics Related Books

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
Language: en
Pages: 338
Authors: Jing Na
Categories: Technology & Engineering
Type: BOOK - Published: 2018-06-12 - Publisher: Academic Press

DOWNLOAD EBOOK

Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive co
Adaptive Backstepping Control of Uncertain Systems
Language: en
Pages: 246
Authors: Jing Zhou
Categories: Technology & Engineering
Type: BOOK - Published: 2008-02-07 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinea
Robust Control of Uncertain Dynamic Systems
Language: en
Pages: 217
Authors: Rama K. Yedavalli
Categories: Technology & Engineering
Type: BOOK - Published: 2013-12-05 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic system
Control of Uncertain Systems with Bounded Inputs
Language: en
Pages: 186
Authors: Sophie Tarbouriech
Categories: Technology & Engineering
Type: BOOK - Published: 2014-03-12 - Publisher: Springer

DOWNLOAD EBOOK

In practical control problems, many constraints have to be handled in order to design controllers which operate in a real environment. By combining results on r
Randomized Algorithms for Analysis and Control of Uncertain Systems
Language: en
Pages: 363
Authors: Roberto Tempo
Categories: Technology & Engineering
Type: BOOK - Published: 2012-10-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Co