Adaptive control for nonlinear stochastic hybrid systems with input saturation

Author

Guo, Shu-Mei ; Shieh, Leang-San ; Lin, Ching-Fang ; Chandra, Jagdish

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

2001

fDate

6-6 Jan. 2001

Abstract

This paper presents a new state-space self-tuning control scheme for adaptive digital control of continuous multivariable nonlinear stochastic hybrid systems with input saturation. The continuous nonlinear stochastic system is assumed to have unknown system parameters, system and measurement noises, and inaccessible system states. The proposed method enables the development of a digitally implementable advanced control algorithm for chaotic stochastic hybrid systems.

Keywords

adaptive control; digital control; multivariable control systems; self-adjusting systems; stochastic systems; adaptive control; chaotic stochastic hybrid systems; continuous multivariable nonlinear stochastic hybrid systems; inaccessible system states; input saturation; measurement noises; nonlinear stochastic hybrid systems; state-space self-tuning control scheme; system parameters; Adaptive control; Control systems; Digital control; Logic; Noise measurement; Nonlinear control systems; Power system dynamics; Power system modeling; Stochastic resonance; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on

Conference_Location

Maui, HI, USA

Print_ISBN

0-7695-0981-9

Type

conf

DOI

10.1109/HICSS.2001.926278

Filename

926278