Neural algorithms of optimal and adaptive control of mechanical systems

Author

Bogdanov, Alexander A. ; Timofeev, Adil V.

Author_Institution

Baltic State Tech. Univ., St. Petersburg, Russia

Volume

3

fYear

1997

fDate

27-29 Aug 1997

Firstpage

532

Abstract

Methods and principles of optimal and adaptive control of mechanical systems are discussed, as well as principles of their neural implementation for optimal control in real time. Optimal programmed controllers, feedback controllers, adaptive controllers and programmers of optimal movements of nonlinear mechanical systems with reversible dynamics are synthesised. Methods of optimal and adaptive controller and programmer parameters adjustment are proposed, and parallel (neural) architectures for their implementation are discussed

Keywords

adaptive control; feedback; identification; neurocontrollers; nonlinear dynamical systems; optimal control; programmed control; adaptive control; dynamics; feedback; identification; neural net architectures; neurocontrol; nonlinear mechanical systems; optimal control; programmed controllers; Adaptive control; Control system synthesis; Control systems; Electric variables control; Equations; Error correction; Mechanical systems; Optimal control; Sliding mode control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference

Conference_Location

St. Petersburg

Print_ISBN

0-7803-4247-X

Type

conf

DOI

10.1109/COC.1997.626661

Filename

626661