Adaptive Nonlinear System Identification

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  • Publisher : Springer Science & Business Media
  • Release : 05 September 2007
  • ISBN : 9780387686301
  • Page : 232 pages
  • Rating : 4.5/5 from 103 voters

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Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.

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Adaptive Nonlinear System Identification

Adaptive Nonlinear System Identification
  • Author : Tokunbo Ogunfunmi
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-09-05
  • ISBN : 9780387686301
GET THIS BOOKAdaptive Nonlinear System Identification

Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.

Nonlinear and Adaptive Control with Applications

Nonlinear and Adaptive Control with Applications
  • Author : Alessandro Astolfi,Dimitrios Karagiannis,Romeo Ortega
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-12-06
  • ISBN : 9781848000667
GET THIS BOOKNonlinear and Adaptive Control with Applications

The authors here provide a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. They employ a new tool based on the ideas of system immersion and manifold invariance. New algorithms are delivered for the construction of robust asymptotically-stabilizing and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes that are easier to tune than their counterparts obtained from Lyapunov redesign.

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 Date : 2018-06-12
  • ISBN : 9780128136843
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

Identification and Adaptive Control for Nonlinear Systems and Applications

Identification and Adaptive Control for Nonlinear Systems and Applications
  • Author : Jianhua Zhang,Yang Li,Qiang Chen
  • Publisher : Academic Press
  • Release Date : 2022-03-15
  • ISBN : 0128234415
GET THIS BOOKIdentification and Adaptive Control for Nonlinear Systems and Applications

Identification and Adaptive Control for Nonlinear Systems and Applications: Applied Mathematics in Control Engineering introduces nonlinear systems concepts, system analysis, system control methods and applications in various fields. The major contribution of the book includes: (1) The basic concepts of nonlinear systems stability analysis and nonlinear systems control method. (2) The stability analysis of complex nonlinear system with adaptive neural networks control. (3) The nonlinear systems adaptive sliding mode controller design of complex nonlinear systems. (4) Some industrial application. The book gives an introduction

Adaptive Control Systems

Adaptive Control Systems
  • Author : Gang Feng,Rogelio Lozano
  • Publisher : Elsevier
  • Release Date : 1999-05-10
  • ISBN : 9780080498607
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 Control Systems

Adaptive Control Systems
  • Author : Chalam
  • Publisher : Routledge
  • Release Date : 2017-10-19
  • ISBN : 9781351468985
GET THIS BOOKAdaptive Control Systems

impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference

Learning-Based Adaptive Control

Learning-Based Adaptive Control
  • Author : Mouhacine Benosman
  • Publisher : Butterworth-Heinemann
  • Release Date : 2016-08-02
  • ISBN : 9780128031513
GET THIS BOOKLearning-Based Adaptive Control

Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based

Fuzzy If-Then Rules in Computational Intelligence

Fuzzy If-Then Rules in Computational Intelligence
  • Author : Da Ruan,Etienne E. Kerre
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • ISBN : 9781461545132
GET THIS BOOKFuzzy If-Then Rules in Computational Intelligence

During the last three decades, interest has increased significantly in the representation and manipulation of imprecision and uncertainty. Perhaps the most important technique in this area concerns fuzzy logic or the logic of fuzziness initiated by L. A. Zadeh in 1965. Since then, fuzzy logic has been incorporated into many areas of fundamental science and into the applied sciences. More importantly, it has been successful in the areas of expert systems and fuzzy control. The main body of this book consists

Model Free Adaptive Control

Model Free Adaptive Control
  • Author : Zhongsheng Hou,Shangtai Jin
  • Publisher : CRC Press
  • Release Date : 2013-09-24
  • ISBN : 9781466594197
GET THIS BOOKModel Free Adaptive Control

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized

System Identification and Adaptive Control

System Identification and Adaptive Control
  • Author : Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou
  • Publisher : Springer
  • Release Date : 2016-09-03
  • ISBN : 3319354124
GET THIS BOOKSystem Identification and Adaptive Control

Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy

Model Free Adaptive Control

Model Free Adaptive Control
  • Author : Zhongsheng Hou,Shangtai Jin
  • Publisher : CRC Press
  • Release Date : 2013-09-24
  • ISBN : 9781466594180
GET THIS BOOKModel Free Adaptive Control

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized

Intelligent Components and Instruments for Control Applications 1994

Intelligent Components and Instruments for Control Applications 1994
  • Author : Cs. Banyasz
  • Publisher : Elsevier
  • Release Date : 2014-05-23
  • ISBN : 9781483296623
GET THIS BOOKIntelligent Components and Instruments for Control Applications 1994

Advances in computer technology and sensor development have led to increasingly successful control operations. In order to maximize future potential it is vital for academics and practitioners in the field to have an international forum for discussion and evaluation of the latest developments. The IFAC Symposia on intelligent components and instruments provide this opportunity and the latest in the series gives rise to this invaluable publication which provides an authoritative assessment of the present state and future directions of these

Adaptive Systems in Control and Signal Processing 1992

Adaptive Systems in Control and Signal Processing 1992
  • Author : L. Dugard,M. M'Saad,I.D. Landau
  • Publisher : Elsevier
  • Release Date : 2014-06-28
  • ISBN : 9781483298801
GET THIS BOOKAdaptive Systems in Control and Signal Processing 1992

Adaptive Systems remain a very interesting field of theoretical research, extended by methodological studies and an increasing number of applications. The plenary papers, invited sessions and contributed sessions focused on many aspects of adaptive systems, such as systems identification and modelling, adaptive control of nonlinear systems and theoretical issues in adaptive control. Also covered were methodological aspects and applications of adaptive control, intelligent tuning and adaptive signal processing.

Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior

Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior
  • Author : Rigatos, Gerasimos
  • Publisher : IGI Global
  • Release Date : 2010-06-30
  • ISBN : 9781615208500
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

Fully Tuned Radial Basis Function Neural Networks for Flight Control

Fully Tuned Radial Basis Function Neural Networks for Flight Control
  • Author : N. Sundararajan,P. Saratchandran,Yan Li
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • ISBN : 9781475752861
GET THIS BOOKFully Tuned Radial Basis Function Neural Networks for Flight Control

Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning