Parameter Estimation And Adaptive Control For Nonlinear Servo Systems

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Parameter Estimation and Adaptive Control for Nonlinear Servo Systems

Author : Shubo Wang,Jing Na,Xuemei Ren
Publisher : Elsevier
Page : 304 pages
File Size : 41,5 Mb
Release : 2024-02-01
Category : Technology & Engineering
ISBN : 9780443155758

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Parameter Estimation and Adaptive Control for Nonlinear Servo Systems by Shubo Wang,Jing Na,Xuemei Ren Pdf

Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design. It provides fundamentals, algorithms, and it discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems. Presents a clear and concise introduction to the latest advances in parameter estimation and adaptive control with several concise applications for servo systems Covers a wide range of applications usually not found in similar books, such as power systems, robotics, mechatronics, aeronautics, and industrial systems Contains worked examples which make it ideal for advanced courses as well as for researchers starting to work in the field, particularly suitable for engineers wishing to enter the field quickly and efficiently

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

Author : Jing Na,Qiang Chen,Xuemei Ren
Publisher : Academic Press
Page : 336 pages
File Size : 48,6 Mb
Release : 2018-06-12
Category : Technology & Engineering
ISBN : 9780128136843

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Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics by Jing Na,Qiang Chen,Xuemei Ren Pdf

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 Dual Control

Author : Nikolai Michailovich Filatov,Heinz Unbehauen
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 51,9 Mb
Release : 2004-04-20
Category : Technology & Engineering
ISBN : 3540213732

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Adaptive Dual Control by Nikolai Michailovich Filatov,Heinz Unbehauen Pdf

This monograph demonstrates how the performance of various well-known adaptive controllers can be improved significantly using the dual effect. The modifications to incorporate dual control are realized separately and independently of the main adaptive controller without complicating the algorithms. A new bicriterial approach for dual control is developed and applied to various types of popular linear and nonlinear adaptive controllers. Practical applications of the designed controllers to several real-time problems are presented. This monograph is the first book providing a complete exposition on the dual control problem from the inception in the early 1960s to the present state of the art aiming at students and researchers in adaptive control as well as design engineers in industry.

Adaptive Control Systems

Author : Gang Feng,Rogelio Lozano
Publisher : Elsevier
Page : 361 pages
File Size : 45,6 Mb
Release : 1999-05-10
Category : Technology & Engineering
ISBN : 9780080498607

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Adaptive Control Systems by Gang Feng,Rogelio Lozano Pdf

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 presents the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques. Each technique described has been developed to provide a practical solution to a real-life problem. This volume will therefore not only advance the field of adaptive control as an area of study, but will also show how the potential of this technology can be realised and offer significant benefits. Practical cookbook of adaptive control Contains important research

Adaptive Control

Author : Karl Johan Åström,Björn Wittenmark
Publisher : Addison Wesley Publishing Company
Page : 548 pages
File Size : 40,8 Mb
Release : 1989
Category : Technology & Engineering
ISBN : STANFORD:36105030488246

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Adaptive Control by Karl Johan Åström,Björn Wittenmark Pdf

What is adaptive control? Why adaptive control? Real-time parameter estimation. Model-reference adaptive systems. Self-tuning regulators. Stability, convergence, and robustness. Stochastic adaptive control. Auto-tuning. Gain scheduling. Alternatives to adaptive control. Practical aspects and implementation. Applications. Perspectives on adaptive control. Regulator design. Positive real transfer functions.

Model Free Adaptive Control

Author : Zhongsheng Hou,Shangtai Jin
Publisher : CRC Press
Page : 396 pages
File Size : 50,7 Mb
Release : 2013-09-24
Category : Computers
ISBN : 9781466594197

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Model Free Adaptive Control by Zhongsheng Hou,Shangtai Jin Pdf

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 ou

Adaptive Control Systems

Author : Chalam
Publisher : Routledge
Page : 544 pages
File Size : 51,5 Mb
Release : 2017-10-19
Category : Technology & Engineering
ISBN : 9781351468985

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Adaptive Control Systems by Chalam Pdf

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 adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.

Robust and Adaptive Model Predictive Control of Nonlinear Systems

Author : Martin Guay,Veronica Adetola,Darryl DeHaan
Publisher : IET
Page : 269 pages
File Size : 48,5 Mb
Release : 2015-11-13
Category : Technology & Engineering
ISBN : 9781849195522

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Robust and Adaptive Model Predictive Control of Nonlinear Systems by Martin Guay,Veronica Adetola,Darryl DeHaan Pdf

This book offers a novel approach to adaptive control and provides a sound theoretical background to designing robust adaptive control systems with guaranteed transient performance. It focuses on the more typical role of adaptation as a means of coping with uncertainties in the system model.

Adaptive Control for Partially Known Systems

Author : Carlos A. Canudas de Wit
Publisher : Elsevier Publishing Company
Page : 292 pages
File Size : 51,7 Mb
Release : 1988
Category : Technology & Engineering
ISBN : UOM:39015012009331

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Adaptive Control for Partially Known Systems by Carlos A. Canudas de Wit Pdf

Adaptive control has been considered as an alternative in designing high-performance control systems, from the beginning of the 1950s. Since then, most of the adaptive control schemes have been formulated either in the continuous-time or in the discrete-time framework. Both approaches commonly use black-box'' models for describing the process to be controlled; models with known structure but unknown parameters. These models have the advantage that they are general but also the disadvantage that many parameters have to be estimated. There are in practice, however, many adaptive problems where the system can be described as partially known in the sense that part of the system dynamics is known and another part unknown. This is the kind of system considered in this book. Most of the adaptive algorithms that are reliable - in the sense that they guarantee closed-loop stability and some performance behaviour - require to a certain extent some system knowledge and a checking procedure for the caution update of the parameter estimates.

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume VI

Author : Heinz D. Unbehauen
Publisher : EOLSS Publications
Page : 524 pages
File Size : 41,7 Mb
Release : 2009-10-11
Category : Electronic
ISBN : 9781848261457

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CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume VI by Heinz D. Unbehauen Pdf

This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs

Non-identifier Based Adaptive Control in Mechatronics

Author : Christoph M. Hackl
Publisher : Springer
Page : 652 pages
File Size : 54,5 Mb
Release : 2018-07-28
Category : Technology & Engineering
ISBN : 3319855492

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Non-identifier Based Adaptive Control in Mechatronics by Christoph M. Hackl Pdf

This book introduces non-identifier-based adaptive control (with and without internal model) and its application to the current, speed and position control of mechatronic systems such as electrical synchronous machines, wind turbine systems, industrial servo systems, and rigid-link, revolute-joint robots. In mechatronics, there is often only rough knowledge of the system. Due to parameter uncertainties, nonlinearities and unknown disturbances, model-based control strategies can reach their performance or stability limits without iterative controller design and performance evaluation, or system identification and parameter estimation. The non-identifier-based adaptive control presented is an alternative that neither identifies the system nor estimates its parameters but ensures stability. The adaptive controllers are easy to implement, compensate for disturbances and are inherently robust to parameter uncertainties and nonlinearities. For controller implementation only structural system knowledge (like relative degree, input-to-state stable zero dynamics and known sign of the high-frequency gain) is required. Moreover, the presented controllers guarantee reference tracking with prescribed asymptotic or transient accuracy, i.e. the tracking error eventually tends to or for all time evolves within an a priori specified region. The book presents the theory, modeling and application in a general but detailed and self-contained manner, making it easy to read and understand, particularly for newcomers to the topics covered

Robust Adaptive Control

Author : Petros Ioannou,Jing Sun
Publisher : Courier Corporation
Page : 850 pages
File Size : 43,7 Mb
Release : 2013-09-26
Category : Technology & Engineering
ISBN : 9780486320724

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Robust Adaptive Control by Petros Ioannou,Jing Sun Pdf

This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.

Proceedings of 2017 Chinese Intelligent Systems Conference

Author : Yingmin Jia,Junping Du,Weicun Zhang
Publisher : Springer
Page : 781 pages
File Size : 50,7 Mb
Release : 2017-09-19
Category : Technology & Engineering
ISBN : 9789811064968

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Proceedings of 2017 Chinese Intelligent Systems Conference by Yingmin Jia,Junping Du,Weicun Zhang Pdf

This book presents selected research papers from CISC’17, held in MudanJiang, China. The topics covered include Multi-agent system, Evolutionary Computation, Artificial Intelligence, Complex systems, Computation intelligence and soft computing, Intelligent control, Advanced control technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

Adaptive Control

Author : Karl J. Åström,Björn Wittenmark
Publisher : Courier Corporation
Page : 596 pages
File Size : 40,8 Mb
Release : 2013-04-26
Category : Technology & Engineering
ISBN : 9780486319148

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Adaptive Control by Karl J. Åström,Björn Wittenmark Pdf

Suitable for advanced undergraduates and graduate students, this text introduces theoretical and practical aspects of adaptive control. It offers an excellent perspective on techniques as well as an active knowledge of key approaches. Readers will acquire a well-developed sense of when to use adaptive techniques and when other methods are more appropriate. Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators. Additional topics include gain scheduling, robust high-gain control and self-oscillating controllers, and suggestions for implementing adaptive controllers. Concluding chapters feature a summary of applications and a brief review of additional areas closely related to adaptive control. Both authors are Professors at the Lund Institute of Technology in Sweden, and this text has evolved from their many years of research and teaching. Their insights into properties, design procedures, and implementation of adaptive controllers are complemented by the numerous examples, simulations, and problems that appear throughout the book.

Applications of Adaptive Control

Author : Kumpati S. Narendra
Publisher : Elsevier
Page : 568 pages
File Size : 44,5 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780323145671

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Applications of Adaptive Control by Kumpati S. Narendra Pdf

Control Applications of Adaptive covers the proceedings of the 197 Workshop on Applications of Adaptive Control, held in Yale University. This book is organized into five parts encompassing 18 chapters that summarize the potential application of adaptive control to many practical problems. Part I contains tutorials that bring together important result s in two of the most studied approaches to adaptive control, namely, self-tuning regulators and model reference adaptive control (MRAC), with a particular emphasis on the importance of error models in the stability analysis of MRAC. Part II examines the algorithms used for adaptive signal processing, while Part III describes the types of power systems problems that could benefit from application of adaptive control and how to apply adaptive control algorithms for controlling large electric generators. Part IV highlights adaptive control in aircraft systems. This part also considers how adaptive control fell into disfavor in the flight control community, illustrating the existence of residual negative bias. The desirability of cost elimination of air data sensors in less-sophisticated flight control systems is also discussed. Part V addresses the application of process control to chemical processes and to electromechanical systems. This part also shows the robustness and superior tracking and regulation properties of model reference adaptive control applied to liquid level control. Discussion on various classes of model reference adaptive controllers in a common framework from the viewpoint of microcomputer implementation is also included. This book will be of value to control system theorists and practitioners.