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Design of adaptive laws for discrete-time systems based on Particle Swarm Optimization

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2 Author(s)
Ordonez-Hurtado, R.H. ; Dept. of Electr. Eng., Univ. of Chile, Santiago, Chile ; Duarte-Mermoud, M.A.

A wide variety of linear/nonlinear adaptive systems in continuous/discrete time can be represented by error models, thus facilitating their analysis. The solution obtained for a given error model can be applied to different systems represented by the error model. This paper presents a methodology for adjusting the parameters of a discrete-time adaptive system represented by a Type 1 Error Model, which is based on Particle Swarm Optimization (PSO) and that allows using it in on-line applications. The performance of the proposed methodology is compared with the traditional gradient and least squares methods through simulations.

Published in:

Control and Automation (ICCA), 2011 9th IEEE International Conference on

Date of Conference:

19-21 Dec. 2011