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Optimal control using fuzzy logic and evolutionary algorithms
conference contribution
posted on 2017-12-06, 00:00 authored by Russel StonierRussel Stonier, Jason BellJason BellIn 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.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Parent Title
Complex 2004 : Proceedings of the 7th Asia-Pacific Complex Systems Conference, Cairns Convention Centre, Cairns, Australia, 6-10 December 2004.Start Page
390End Page
399Number of Pages
10Start Date
2004-01-01ISBN-10
1876674962Location
Cairns, AustraliaPublisher
Central Queensland UniversityPlace of Publication
Rockhampton, Qld.Peer Reviewed
- Yes
Open Access
- No
Era Eligible
- Yes