DocumentCode
425028
Title
Adaptive extremum-seeking receding horizon control of nonlinear systems
Author
Adetola, V. ; DeHaan, D. ; Guay, M.
Author_Institution
Dept. of Chem. Eng., Queen´´s Univ., Kingston, Ont., Canada
Volume
4
fYear
2004
fDate
June 30 2004-July 2 2004
Firstpage
2937
Abstract
We present a control algorithm that incorporates real time optimization and receding horizon control technique to solve an extremum seeking control problem for a class of nonlinear systems with parametric uncertainties. A Lyapunov-based technique is employed to develop a receding horizon controller that drives the system states to the desired unknown extremum points when it can be shown that a persistency of excitation condition is satisfied. A simulation example is provided to illustrate the effectiveness of the proposed method.
Keywords
Lyapunov methods; adaptive control; control system synthesis; nonlinear control systems; optimal control; optimisation; process control; uncertain systems; Lyapunov based technique; adaptive extremum seeking control algorithm; advanced process control; nonlinear systems; parametric uncertainties; real time optimization; receding horizon controller design;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2004. Proceedings of the 2004
Conference_Location
Boston, MA, USA
ISSN
0743-1619
Print_ISBN
0-7803-8335-4
Type
conf
Filename
1384358
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