Parameter Estimation and Adaptive Control for Nonlinear Servo Systems

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Publisher : Elsevier
ISBN 13 : 0443155755
Total Pages : 304 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis Parameter Estimation and Adaptive Control for Nonlinear Servo Systems by : Shubo Wang

Download or read book Parameter Estimation and Adaptive Control for Nonlinear Servo Systems written by Shubo Wang and published by Elsevier. This book was released on 2024-02-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Academic Press
ISBN 13 : 0128136847
Total Pages : 336 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics by : Jing Na

Download or read book Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics written by Jing Na and published by Academic Press. This book was released on 2018-06-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540213734
Total Pages : 258 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Adaptive Dual Control by : Nikolai Michailovich Filatov

Download or read book Adaptive Dual Control written by Nikolai Michailovich Filatov and published by Springer Science & Business Media. This book was released on 2004-04-20 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Newnes
ISBN 13 : 9780750639965
Total Pages : 360 pages
Book Rating : 4.62/5 ( download)

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Book Synopsis Adaptive Control Systems by : Gang Feng

Download or read book Adaptive Control Systems written by Gang Feng and published by Newnes. This book was released on 1999-06-08 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: List of contributors; Preface; Adaptive internal model control; An algorithm for robust adaptive control with less prior knowledge; Adaptive variable structure control; Indirect adaptive periodic control; Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localization; Adaptive nonlinear control: passivation and small gain techniques; Active identification for control of discrete-time uncertain nonlinear systems; Optimal adaptive tracking for nonlinear systems; Stable adaptive systems in the presence of nonlinear parametrization; Adaptive inverse for actuator compensation; Stable multi-input multi-output adaptive fuzzy/neural control; Adaptive robust control scheme with an application to PM synchronous motors; Index.

Adaptive Control

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Author :
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 548 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Adaptive Control by : Karl Johan Åström

Download or read book Adaptive Control written by Karl Johan Åström and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Adaptive Control Systems

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Publisher : Routledge
ISBN 13 : 1351468987
Total Pages : 544 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Adaptive Control Systems by : Chalam

Download or read book Adaptive Control Systems written by Chalam and published by Routledge. This book was released on 2017-10-19 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Model Free Adaptive Control

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Publisher : CRC Press
ISBN 13 : 1466594195
Total Pages : 396 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Model Free Adaptive Control by : Zhongsheng Hou

Download or read book Model Free Adaptive Control written by Zhongsheng Hou and published by CRC Press. This book was released on 2013-09-24 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Robust Adaptive Control

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Publisher : Courier Corporation
ISBN 13 : 0486320723
Total Pages : 850 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Robust Adaptive Control by : Petros Ioannou

Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Non-identifier Based Adaptive Control in Mechatronics

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Publisher : Springer
ISBN 13 : 9783319855493
Total Pages : 652 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Non-identifier Based Adaptive Control in Mechatronics by : Christoph M. Hackl

Download or read book Non-identifier Based Adaptive Control in Mechatronics written by Christoph M. Hackl and published by Springer. This book was released on 2018-07-28 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Proceedings of 2017 Chinese Intelligent Systems Conference

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Publisher : Springer
ISBN 13 : 9811064962
Total Pages : 781 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Proceedings of 2017 Chinese Intelligent Systems Conference by : Yingmin Jia

Download or read book Proceedings of 2017 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer. This book was released on 2017-09-19 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.