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Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulum

conference contribution
posted on 06.12.2017, 00:00 by Russel StonierRussel Stonier, N Young
In this paper we will examine the problem of learning a two layer hierarchical fuzzy controller for the control of the inverted pendulum (with nonlinear dynamics). The fuzzy rules are learnt using cooperative co-evolution, whereby two distinct evolutionary populations are used: one defining the first fuzzy layer and the other defining the second fuzzy layer. We compare the results from the co-evolutionary algorithm with the results from a classical evolutionary algorithm.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

Proceedings of the 2003 Congress on Evolutionary Computation, CEC 2003 : Canberra, Australia, 8-12 December, 2003.

Start Page

467

End Page

473

Number of Pages

7

Start Date

08/12/2003

Finish Date

12/12/2003

ISBN-10

0780378040

Location

Canberra, Australia

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Informatics and Communication;

Era Eligible

Yes

Name of Conference

Congress on Evolutionary Computation