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Optimal control using fuzzy logic and evolutionary algorithms
conference contributionposted on 2017-12-06, 00:00 authored by Russel StonierRussel Stonier, Jason BellJason Bell
In this paper we show how to use evolutionary algorithms to find a nonlinear, feedback, fuzzy controller to solve optimal control problems. In particular, we study the continuous stirred tank reactor optimal control problem and a problem in which the state equations contain a non-differentiable component of a rectangular pulse over a subinterval of the time range Results are compared with the iterative dynamic programming technique.
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
Parent TitleComplex 2004 : Proceedings of the 7th Asia-Pacific Complex Systems Conference, Cairns Convention Centre, Cairns, Australia, 6-10 December 2004.
Number of Pages10
PublisherCentral Queensland University
Place of PublicationRockhampton, Qld.