Title

Genetic algorithm application to controller optimization problems with non-analytic solutions

Abstract

Linear feedback designed problems were previously solved using modern optimal control theory not capable of accommodating desired system performance constraints, thereby providing undesirable results. Hence, genetic algorithms (GA's) that offer a numerical search method that does not require a statement of the mathematical relationship between the performance criteria and the parameter update have been considered as a better alternative. The present study demonstrates that GA's provide a method of optimizing control system problems with analytically intractable constraints.

Publication Date

1-1-1994

Publication Title

Southcon Conference Record

Number of Pages

160-165

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/southc.1994.498093

Socpus ID

0028746796 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028746796

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