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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Hou, Zhongsheng, Jin, Shangtai
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: United States CRC Press 2013
Taylor & Francis Group
Ausgabe:1
Schlagworte:
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-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie: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