Neural-network-inverse-model control strategy-discrete-time analysis for relative order one system

Author

Hussain, Mohamed Azlan

Author_Institution

Dept. of Chem. Eng., Malaya Univ., Kuala Lumpur, Malaysia

Volume

3

fYear

1998

fDate

21-26 Jun 1998

Firstpage

1410

Abstract

We initially discuss the relationship between the neural-network-inverse-based control approaches and the globally linearised control approach, the closed loop formulation of which is utilised in the formulation of the neural-network-based closed-loop state space representation for a relative order one system. Next the stability analysis of the closed loop system for this system, using Lyapunov´s technique, is discussed and some simulation studies presented

Keywords

Lyapunov methods; closed loop systems; control system analysis; discrete time systems; neurocontrollers; stability; state-space methods; Lyapunov´s technique; discrete-time analysis; globally linearised control; neural-network-based closed-loop state space representation; neural-network-inverse-model control strategy; relative order one system; stability analysis; Chemical analysis; Control system synthesis; Electronic mail; Inverse problems; Network synthesis; Neural networks; Neurofeedback; Nonlinear control systems; Stability analysis; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.707056

Filename

707056