Adaptive identification and control of dynamical systems using neural networks

Author

Narendra, Kumpati S. ; Parthasarathy, Kannan

Author_Institution

Center for Syst. Sci., Yale Univ., New Haven, CT, USA

fYear

1989

Firstpage

1737

Abstract

In recent years, multilayer neural networks and recurrent networks have emerged as important components for representing nonlinear transformations and have proved particularly successful in pattern recognition and optimization problems. The authors explore methods for incorporating such networks in adaptive systems for the identification and control of complex nonlinear dynamical systems

Keywords

adaptive control; identification; large-scale systems; neural nets; nonlinear control systems; adaptive control; adaptive identification; complex nonlinear dynamical systems; complex systems; large-scale systems; multilayer neural networks; nonlinear systems; nonlinear transformations; optimization; pattern recognition; recurrent networks; Adaptive control; Adaptive systems; Control systems; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Pattern recognition; Programmable control; Recurrent neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1989., Proceedings of the 28th IEEE Conference on

Conference_Location

Tampa, FL

Type

conf

DOI

10.1109/CDC.1989.70448

Filename

70448

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1699949