Indirect control of a class of nonlinear dynamic systems

Author

Mistry, Sanjay I. ; Chang, Shao-Liang ; Nair, Satish S.

Author_Institution

Dept. of Mech. & Aerosp. Eng., Missouri Univ., Columbia, MO, USA

Volume

7

Issue

4

fYear

1996

fDate

7/1/1996 12:00:00 AM

Firstpage

1015

Lastpage

1023

Abstract

Identification and control designs are considered using neural networks for a class of nonlinear partially known dynamic systems. Real-time implementation of two designs, a neural identifier and a proposed neural controller, using an experimental system, comparisons with two other neural networks as well as conventional schemes, and an implementation architecture are reported. The proposed control design facilitates incorporation of available knowledge about the structure of the system. The study also illustrates the inherent capability of neural networks to handle nonlinearities and perform control effectively for a real world system, based on minimal system information

Keywords

control nonlinearities; identification; neural net architecture; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; implementation architecture; indirect control; neural controller; neural identifier; neural networks; nonlinear partially known dynamic systems; nonlinearities; Adaptive control; Aerodynamics; Control design; Control systems; Linear systems; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Real time systems;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.508943

Filename

508943