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Numerical Optimization-based Extremum Seeking Control of LTI Systems

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2 Author(s)
Chunlei Zhang ; Department of Electrical and Computer Engineering University of Dayton, 300 College Park, Dayton, OH 45469, USA. zhangchz@notes.udayton.edu. ; Ordonez, R.

An extremum seeking control scheme of LTI systems is introduced in this paper. The extremum seeking problem is treated as a numerical optimization with dynamic system constraints. The convergence and robustness of the extremum seeking scheme is guaranteed by the numerical optimization algorithm, where a detailed analysis based on the line search method is addressed. A simulation example is given to show the effectiveness of the proposed scheme with and without input disturbance.

Published in:

Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on

Date of Conference:

12-15 Dec. 2005