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Can I read Parameter Convergence in Adaptive Extremum-seeking Control on EtoBox?

Parameter Convergence in Adaptive Extremum-seeking Control by V. Adetola; M. Guay is a Engineering article available to read on EtoBox.

What is Parameter Convergence in Adaptive Extremum-seeking Control about?

This paper addresses the problem of parameter convergence in adaptive extremum-seeking control design. An alternate version of the popular persistence of excitation condition is proposed for a class of nonlinear systems with parametric uncertainties. The condition is translated to an asymptotic sufficient richness condition on the reference set-point. Since the desired optimal set-point is not known a priori in this type of problem, the proposed method includes a technique for generating perturbation signal that satisfies this condition in closed-loop. This demonstrates its superiority in terms of parameter convergence. The method guarantees parameter convergence with minimal but sufficient level of perturbation. The effectiveness of the proposed method is illustrated with a simulation example.

Who reads Parameter Convergence in Adaptive Extremum-seeking Control?

It is typically read by researchers, students, and practitioners in Engineering.

Author
V. Adetola; M. Guay
Publisher
Elsevier Science; Elsevier ; Elsevier Ltd.; Test accounts; Elsevier BV (ISSN 0005-1098)
Published
2007
Language
EN
Field
Engineering (Physical Sciences)

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