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Adaptive Control Theory And Applications


Adaptive Control Theory And Applications
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Model Free Adaptive Control


Model Free Adaptive Control
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Author : Zhongsheng Hou
language : en
Publisher: CRC Press
Release Date : 2013-09-24

Model Free Adaptive Control written by Zhongsheng Hou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-24 with Technology & Engineering categories.


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 Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design. The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.



Model Free Adaptive Control


Model Free Adaptive Control
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Author : Zhongsheng Hou
language : en
Publisher: CRC Press
Release Date : 2013-09-24

Model Free Adaptive Control written by Zhongsheng Hou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-24 with Computers categories.


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 Theory And Applications


Adaptive Control Theory And Applications
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Author : Petros A. Ioannou
language : en
Publisher:
Release Date : 2024

Adaptive Control Theory And Applications written by Petros A. Ioannou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.




Adaptive Dual Control


Adaptive Dual Control
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Author : Nikolai Michailovich Filatov
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-04-20

Adaptive Dual Control written by Nikolai Michailovich Filatov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-20 with Technology & Engineering categories.


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.



Nonlinear And Adaptive Control With Applications


Nonlinear And Adaptive Control With Applications
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Author : Alessandro Astolfi
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-06

Nonlinear And Adaptive Control With Applications written by Alessandro Astolfi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-06 with Technology & Engineering categories.


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.



Learning Based Adaptive Control


Learning Based Adaptive Control
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Author : Mouhacine Benosman
language : en
Publisher: Butterworth-Heinemann
Release Date : 2016-08-02

Learning Based Adaptive Control written by Mouhacine Benosman and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-02 with Technology & Engineering categories.


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 learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained. - Includes a good number of Mechatronics Examples of the techniques. - Compares and blends Model-free and Model-based learning algorithms. - Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.



Direct Adaptive Control Algorithms


Direct Adaptive Control Algorithms
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Author : Howard Kaufman
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-11-25

Direct Adaptive Control Algorithms written by Howard Kaufman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-11-25 with Technology & Engineering categories.


Suitable either as a reference for practising engineers or as a text for a graduate course in adaptive control systems, this is a self-contained compendium of readily implementable adaptive control algorithms. These algorithms have been developed and applied by the authors for over fifteen years to a wide variety of engineering problems including flexible structure control, blood pressure control, and robotics. As such, they are suitable for a wide variety of multiple input-output control systems with uncertainty and external disturbances. The text is intended to enable anyone with knowledge of basic linear multivariable systems to adapt the algorithms to problems in a wide variety of disciplines. Thus, in addition to developing the theoretical details of the algorithms presented, the text gives considerable emphasis to designing algorithms and to representative applications in flight control, flexible structure control, robotics, and drug-infusion control. This second edition makes good use of MATLAB programs for the illustrative examples; these programs are described in the text and can be obtained from the MathWorks file server.



Adaptive Control Theory And Applications


Adaptive Control Theory And Applications
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Author : Petros Ioannou
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-12-11

Adaptive Control Theory And Applications written by Petros Ioannou and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Technology & Engineering categories.


Adaptive control is a modern approach to controlling systems with large parametric uncertainties, enabling performance to reach new heights. By compensating for unexpected parametric uncertainties, whether due to equipment failure or wear and tear, it not only enhances system reliability but also extends equipment lifespan, thereby reducing costs. This book showcases the latest advances in the theory and application of adaptive control, contributed by leading researchers in the field. Alongside theoretical insights, it presents practical examples of adaptive control applications, offering a comprehensive understanding of its advantages across a diverse range of control systems.



Self Tuning And Adaptive Control


Self Tuning And Adaptive Control
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Author : Christopher John Harris
language : en
Publisher:
Release Date : 1981

Self Tuning And Adaptive Control written by Christopher John Harris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Technology & Engineering categories.




Adaptive Control Design And Analysis


Adaptive Control Design And Analysis
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Author : Gang Tao
language : en
Publisher: IEEE
Release Date : 2003-09-23

Adaptive Control Design And Analysis written by Gang Tao and has been published by IEEE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-23 with Science categories.


This well organized guide treats adaptive control design and analysis in an authoritative, rigorous manner. Gives both continuous-time and discrete-time adaptive control designs and their analysis. Deals with both single-input single-output and muli-input multi-output systems. Employs both state feedback and output feedback for control. Presents design and analysis of various adaptive control systems in a simplified, clarified, and unified as well as compact framework. Problem sets at the end of each chapter promote understanding of the topics discussed.