Several Extensions in Methods for Adaptive Output Feedback Control

Author

Kim, Nakwan ; Calise, Anthony J.

Author_Institution

Chungnam Nat. Univ., Daejeon

Volume

18

Issue

2

fYear

2007

fDate

3/1/2007 12:00:00 AM

Firstpage

482

Lastpage

494

Abstract

Several extensions to neural network (NN)-based adaptive output feedback control of nonlinear systems are developed. An extension from linearly to nonlinearly parameterized NNs is given for a direct adaptive output feedback approach. An extension that permits the introduction of e-modification in both the direct adaptive approach and an error-observer-based approach is also given. Finally, for the case of nonaffine systems, we eliminate a fixed-point assumption that has appeared in earlier work

Keywords

adaptive control; feedback; neurocontrollers; nonlinear control systems; observers; adaptive output feedback control; error observer; neural network; nonaffine system; nonlinear system; Adaptive control; Adaptive systems; Control systems; Linear feedback control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Uncertainty; $e$-modification; neural networks (NNs); nonlinear adaptive control; output feedback; parametric uncertainty; Algorithms; Artificial Intelligence; Computer Simulation; Feedback; Information Storage and Retrieval; Models, Theoretical; Neural Networks (Computer); Pattern Recognition, Automated;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2006.885120

Filename

4118264