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Optimal control using fuzzy logic and evolutionary algorithms

conference contribution
posted on 06.12.2017, 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.

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

390

End Page

399

Number of Pages

10

Start Date

01/01/2004

ISBN-10

1876674962

Location

Cairns, Australia

Publisher

Central Queensland University

Place of Publication

Rockhampton, Qld.

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Name of Conference

Asia-Pacific Conference on Complex Systems

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