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
Online Access:Get full text
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Table of Contents:
  • 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