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

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

A volume in Emerging Methodologies and Applications in Modelling

Book2018

Authors:

Jing Na, Qiang Chen and Xuemei Ren

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

A volume in Emerging Methodologies and Applications in Modelling

Book2018

 

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

Authors:

Jing Na, Qiang Chen and Xuemei Ren

About the book

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Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems wi ... read full description

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    Index

    Pages 313-316

About the book

Description

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.

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.

Key Features

  • 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
  • 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

Details

ISBN

978-0-12-813683-6

Language

English

Published

2018

Copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Authors

Jing Na

Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China

Qiang Chen

College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

Xuemei Ren

School of Automation, Beijing Institute of Technology, Beijing, China