DocumentCode
295004
Title
Adaptive extremal control
Author
Wittenmark, Björn ; Urquhart, Alexander
Author_Institution
Dept. of Autom. Control, Lund Inst. of Technol., Sweden
Volume
2
fYear
1995
fDate
13-15 Dec 1995
Firstpage
1639
Abstract
In this paper extremal control of a simple nonlinear stochastic system is analyzed. The process is modeled as a generalized Hammerstein model. Different problem formulations are discussed and the performances of the resulting nonlinear adaptive controllers are investigated. The adaptive controllers are based on online estimation of the parameters of the process and the certainty equivalence principle
Keywords
adaptive control; nonlinear control systems; optimal control; stochastic systems; adaptive extremal control; certainty equivalence principle; generalized Hammerstein model; nonlinear stochastic system; online parameter estimation; Adaptive control; Automatic control; Control systems; Councils; Educational institutions; Fuels; Nonlinear control systems; Nonlinear systems; Programmable control; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
0-7803-2685-7
Type
conf
DOI
10.1109/CDC.1995.480374
Filename
480374
Link To Document