Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties |
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Authors: | M. Guay [Author Vitae] T. Zhang [Author Vitae] |
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Affiliation: | a Department of Chemical Engineering, Queen's University, Kingston, Ont., Canada K7L 3N6 b Seagate Technology, SHK221 1280 Disk Drive, Shakopee, MN 55379, USA |
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Abstract: | We pose and solve an extremum seeking control problem for a class of nonlinear systems with unknown parameters. Extremum seeking controllers are developed to drive system states to the desired set-points that extremize the value of an objective function. The proposed adaptive extremum seeking controller is “inverse optimal” in the sense that it minimizes a meaningful cost function that incorporates penalty on both the performance error and control action. Simulation studies are provided to verify the effectiveness of the proposed approach. |
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Keywords: | Nonlinear systems Extremum seeking Inverse optimality Lyapunov function Adaptive control |
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