Title :
Adaptive extremal control
Author :
Wittenmark, Björn ; Urquhart, Alexander
Author_Institution :
Dept. of Autom. Control, Lund Inst. of Technol., Sweden
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;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480374
