Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

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

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  • Author : Jing Na
  • Publisher : Academic Press
  • Pages : 336 pages
  • ISBN : 0128136847
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAdaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

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

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
  • Author : Jing Na,Qiang Chen,Xuemei Ren
  • Publisher : Academic Press
  • Release : 12 June 2018
GET THIS BOOKAdaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

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

Adaptive Backstepping Control of Uncertain Systems

Adaptive Backstepping Control of Uncertain Systems
  • Author : Jing Zhou,Changyun Wen
  • Publisher : Springer Science & Business Media
  • Release : 07 February 2008
GET THIS BOOKAdaptive Backstepping Control of Uncertain Systems

This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system

Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities

Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities
  • Author : Wei Wang,Changyun Wen,Jing Zhou
  • Publisher : CRC Press
  • Release : 18 September 2017
GET THIS BOOKAdaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities

In practice, actuators often undergo failures and various factors influence its effectiveness. Also due to the increasing complexity of large-scale systems, subsystems are often interconnected, whereas the interactions between any two subsystems are difficult to deal with. This book details a series of new methodologies of designing and analyzing adaptive backstepping control systems involving treatment on actuator failures, subsystem interactions and nonsmooth nonlinearities. Moreover, it discusses some interesting open issues in adaptive failure accommodation, decentralized adaptive control and distributed adaptive

Adaptive Control Design and Analysis

Adaptive Control Design and Analysis
  • Author : Gang Tao
  • Publisher : John Wiley & Sons
  • Release : 09 July 2003
GET THIS BOOKAdaptive Control Design and Analysis

Annotation "Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory." "As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal

Fuzzy System Identification and Adaptive Control

Fuzzy System Identification and Adaptive Control
  • Author : Ruiyun Qi,Gang Tao,Bin Jiang
  • Publisher : Springer
  • Release : 11 June 2019
GET THIS BOOKFuzzy System Identification and Adaptive Control

This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and

Adaptive Control Systems

Adaptive Control Systems
  • Author : Gang Feng,Rogelio Lozano
  • Publisher : Elsevier
  • Release : 10 May 1999
GET THIS BOOKAdaptive Control Systems

Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers. The book

Adaptive Approximation Based Control

Adaptive Approximation Based Control
  • Author : Jay A. Farrell,Marios M. Polycarpou
  • Publisher : John Wiley & Sons
  • Release : 14 April 2006
GET THIS BOOKAdaptive Approximation Based Control

A highly accessible and unified approach to the design and analysisof intelligent control systems Adaptive Approximation Based Control is a tool every controldesigner should have in his or her control toolbox. Mixing approximation theory, parameter estimation, and feedbackcontrol, this book presents a unified approach designed to enablereaders to apply adaptive approximation based control to existingsystems, and, more importantly, to gain enough intuition andunderstanding to manipulate and combine it with other control toolsfor applications that have not been encountered before. The

Nonlinear and Adaptive Control of Complex Systems

Nonlinear and Adaptive Control of Complex Systems
  • Author : A.L. Fradkov,I.V. Miroshnik,V.O. Nikiforov
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKNonlinear and Adaptive Control of Complex Systems

This volume presents a theoretical framework and control methodology for a class of complex dynamical systems characterised by high state space dimension, multiple inputs and outputs, significant nonlinearity, parametric uncertainty, and unmodeled dynamics. A unique feature of the authors' approach is the combination of rigorous concepts and methods of nonlinear control (invariant and attracting submanifolds, Lyapunov functions, exact linearisation, passification) with approximate decomposition results based on singular perturbations and decentralisation. Some results published previously in the Russian literature and not

Adaptive Systems in Control and Signal Processing, 1998

Adaptive Systems in Control and Signal Processing, 1998
  • Author : Robert R. Bitmead,Michael A. Johnson,Michael J. Grimble
  • Publisher : Pergamon
  • Release : 15 January 2021
GET THIS BOOKAdaptive Systems in Control and Signal Processing, 1998

Adaptive Systems have been studied for a substantial period as the logical intersection between modelling and design in control and signal processing. Because of this, adaptive systems studies need to live in these two worlds while introducing concepts of their own. These reflect the requirements to track significant system variations or to eliminate initial parameter uncertainty, all the while maintaining satisfactory transient performance. Historically, Adaptive Systems (and notably Adaptive Control) have been the subject of takeover bids by neighbouring tribes