Model Free Adaptive Control Theory and Applications

The book summarizes theory and applications of data-driven model-free adaptive control (MFAC) which is different from the traditional adaptive control. The traditional unmodeled dynamics do not exist in MFAC framework. In addition, MFAC is suitable for many practical applications since it is easily...

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Bibliographic Details
Main Authors: Hou, Zhongsheng, Jin, Shangtai
Format: eBook Book
Language:English
Published: United States CRC Press 2013
Taylor & Francis Group
Edition:1
Subjects:
Adaptive control systems
Data processing Computer science
ILC
Miso System
Tracking Error Convergence
Parameter Estimation Algorithm
Dynamic Linearization
Linearization Data Model
Adaptive Iterative Learning Control
Unmodeled Dynamics
SPSA Algorithm
Tr Ac
Control Inputs U1
Control Input Sequence
Model Based Control
IFT
RLS
Pid Control
RLS Algorithm
Adaptive Control
Unknown Nonlinear Systems
Traditional ILC
Data Dropouts
Discrete Time Nonlinear System
Controller Parameters
Model Based Control Methods
Adaptive Control System
ISBN:1466594195, 9781466594197, 9781466594180, 1466594187
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Abstract The book summarizes theory and applications of data-driven model-free adaptive control (MFAC) which is different from the traditional adaptive control. The traditional unmodeled dynamics do not exist in MFAC framework. In addition, MFAC is suitable for many practical applications since it is easily implemented and has strong robustness. By reading this book, readers become familiar with MFAC in a short time, and can quickly carry out their independent research and applications.
AbstractList The book summarizes theory and applications of data-driven model-free adaptive control (MFAC) which is different from the traditional adaptive control. The traditional unmodeled dynamics do not exist in MFAC framework. In addition, MFAC is suitable for many practical applications since it is easily implemented and has strong robustness. By reading this book, readers become familiar with MFAC in a short time, and can quickly carry out their independent research and applications.
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.
This book summarizes theory and applications of model-free adaptive control (MFAC), which is a pure data-driven model-free control method, and whose controller design and stability analysis merely depend on the measured input and output data of the controlled plants. Topics include: 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. The book provides results that are rigorously proved and accompanied by examples with numerical simulations or experiments. --
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
Author Hou, Zhongsheng
Jin, Shangtai
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9781466594180
1466594187
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Keywords ILC
Miso System
Tracking Error Convergence
Parameter Estimation Algorithm
Dynamic Linearization
Linearization Data Model
Adaptive Iterative Learning Control
Unmodeled Dynamics
SPSA Algorithm
Tr Ac
Control Inputs U1
Control Input Sequence
Model Based Control
IFT
RLS
Pid Control
RLS Algorithm
Adaptive Control
Unknown Nonlinear Systems
Traditional ILC
Data Dropouts
Discrete Time Nonlinear System
Controller Parameters
Model Based Control Methods
Adaptive Control System
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Notes Includes bibliographical references (p. 355-372) and index
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Title from title screen.
OCLC 890379456
PQID EBC1683094
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Snippet The book summarizes theory and applications of data-driven model-free adaptive control (MFAC) which is different from the traditional adaptive control. The...
Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control...
This book summarizes theory and applications of model-free adaptive control (MFAC), which is a pure data-driven model-free control method, and whose controller...
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SubjectTerms Adaptive control systems
Data processing Computer science
SubjectTermsDisplay Adaptive control systems.
Electronic books.
Subtitle Theory and Applications
TableOfContents Front Cover -- Contents -- Preface -- Authors -- Symbols -- Acronyms -- Chapter 1: Introduction -- Chapter 2: Recursive Parameter Estimation for Discrete-Time Systems -- Chapter 3: Dynamic Linearization Approach of Discrete-Time Nonlinear Systems -- Chapter 4: Model-Free Adaptive Control of SISO Discrete-Time Nonlinear Systems -- Chapter 5: Model-Free Adaptive Control of MIMO Discrete-Time Nonlinear Systems -- Chapter 6: Model-Free Adaptive Predictive Control -- Chapter 7: Model-Free Adaptive Iterative Learning Control -- Chapter 8: Model-Free Adaptive Control for Complex Connected Systems and Modularized Controller Design -- Chapter 9: Robustness of Model-Free Adaptive Control -- Chapter 10: Symmetric Similarity for Control System Design -- Chapter 11: Applications -- Chapter 12: Conclusions and Perspectives -- References -- Back Cover
Title Model Free Adaptive Control
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