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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
  • Publsiher : Academic Press
  • Release : 12 June 2018
  • ISBN : 0128136847
  • Pages : 336 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAdaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

Summary:
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

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
  • Release : 08 January 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

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 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



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


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


Nonlinear and Adaptive Control Design

Nonlinear and Adaptive Control Design
  • Author : Miroslav Krstic,Ιωάννης Κανελλακόπουλος,Petar V. Kokotovic,Petar V. Kokotović
  • Publisher : Wiley-Interscience
  • Release : 14 June 1995
GET THIS BOOKNonlinear and Adaptive Control Design

An introduction to a new design for nonlinear control systems--backstepping--written by its own architects. This innovative book breaks new ground in nonlinear and adaptive control design for systems with uncertainties. Introducing the recursive backstepping methodology, it shows--for the first time--how uncertain systems with severe nonlinearities can be successfully controlled with this new powerful design tool. Communicative and accessible at a level not usually present in research texts, Nonlinear and Adaptive Control Design can be used as either a stand-alone or


Nonsmooth Lyapunov Analysis in Finite and Infinite Dimensions

Nonsmooth Lyapunov Analysis in Finite and Infinite Dimensions
  • Author : Yury Orlov
  • Publisher : Springer Nature
  • Release : 08 February 2020
GET THIS BOOKNonsmooth Lyapunov Analysis in Finite and Infinite Dimensions

Nonsmooth Lyapunov Analysis in Finite and Infinite Dimensions provides helpful tools for the treatment of a broad class of dynamical systems that are governed, not only by ordinary differential equations but also by partial and functional differential equations. Existing Lyapunov constructions are extended to discontinuous systems—those with variable structure and impact—by the involvement of nonsmooth Lyapunov functions. The general theoretical presentation is illustrated by control-related applications; the nonsmooth Lyapunov construction is particularly applied to the tuning of sliding-mode



Robust Adaptive Control

Robust Adaptive Control
  • Author : Petros Ioannou,Jing Sun
  • Publisher : Courier Corporation
  • Release : 26 September 2013
GET THIS BOOKRobust Adaptive Control

Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.


Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior

Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior
  • Author : Rigatos, Gerasimos
  • Publisher : IGI Global
  • Release : 30 June 2010
GET THIS BOOKIntelligent Industrial Systems: Modeling, Automation and Adaptive Behavior

In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial systems with intelligence, autonomous decision making capabilities, and self-diagnosing properties. Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior analyzes current trends in industrial systems design, such as intelligent, industrial, and mobile robotics, complex electromechanical