Optimisation of the weighting functions of anH∞controller using genetic algorithms and structured genetic algorithms-Reference-Cited by-同舟云学术

Optimisation of the weighting functions of anH∞controller using genetic algorithms and structured genetic algorithms

Published:2008-04 Issue:4 Volume:39 Page:335-347
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Alfaro-Cid E.,McGookin E.W.,Murray-Smith D.J.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207720701777959

Reference23 articles.

1. Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming

2. Genetic algorithms optimisation of decoupled Sliding Mode controllers: simulated and real results

3. Christiansson, A and Lennartson, B. “Weight selection for H∞control using genetic algorithms”. Proc. of the IFAC 14th Triennial World Congress. pp.25–30. Beijing, China

4. Dai, J and Mao, J. “Robust flight controller design for helicopters based on genetic algorithms”. Proc. of the IFAC 15th Triennial World Congress. pp.73–78. Barcelona, Spain

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