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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography: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.
ISBN:1466594195
9781466594197
9781466594180
1466594187
DOI:10.1201/b15752