Genetic algorithms for optimal feedback control design

Engineering Applications of Artificial Intelligence

Volumn 9, Issue 4, 1996, Pages 403-411

  Kundu, Sourav ^a   Kawata, Seiichi ^b  

^a KANAZAWA UNIVERSITY   (Japan)

^b NONE

Author keywords

Artificial intelligence; Genetic algorithms; Multicriteria optimization; Pareto sets

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTROL SYSTEMS; DESIGN; FEEDBACK CONTROL; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMIZATION; STATE SPACE METHODS;

CONTROL WEIGHTING MATRIX; STATE WEIGHTING MATRIX;

GENETIC ALGORITHMS;

EID: 0030218306     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/0952-1976(96)00034-6     Document Type: Article

References (21)

1. Passino K. M. Intelligent control lor autonomous systems. IEEE Spectrum, pp. 55-62. IEEE (1995).
2. Holland J. H. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975).
3. Goldberg D. E. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA (1989).
4. Porter B. Genetic design of control systems. Trans. Soc Instrument and Control Engineers, Vol. 34(5), pp. 393-402 (1995).
5. Huang R. and Fogarty T. C. Learning prototype control rules for combustion control with genetic algorithm. J. Modeling, Measurement and Control. C 38(4), 55-64 (1992).
6. Goldberg D. E. Genetic algorithms and rule-learning in dynamic system control. In Proc. First Int. Conf. on Genetic Algorithms and Their Applications, Pittsburg, PA (Edited by Grefenstette J.), pp. 8-15. Lawrence Erlbaum Associates, Hillsdale, NJ (1985).
7. Friedland B. Control System Design: An Introduction to State-Space Methods. McGraw-Hill. Singapore (1987).
8. Pareto V. Manuale di Economia Politica, Societa Editrice Libraria, Milan (1906). Translated into English: A. S. Schwier. Manual of Political Economy. MacMillan (1971).
9. Pareto V. Manuale di Economia Politica, Societa Editrice Libraria, Milan (1906). Translated into English: A. S. Schwier. Manual of Political Economy. MacMillan (1971).
10. Gero J. S., Louis S. J. and Kundu S. Evolutionary learning of novel grammars for design improvement. Artificial Intelligence in Engineering Design, Analysis and Manufacturing (AIEDAM). Vol. 8(2), pp. 83-94 (1994).
11. Schaffer J. D. Some experiments in machine learning using vector evaluated genetic algorithms. Unpublished doctoral dissertation, Vanderbilt University, Nashville (1984).
12. Schaffer J. D. Multiple objective optimization with vector evaluated genetic algorithms. Proc. Int. Conf. on Genetic Algorithms and their Applications (Edited by Grefenstette J.), pp. 93-100 (1985).
13. Horn J., Nafpliotis N. and Goldberg D. E. Multiobjective optimization using the niched pareto genetic algorithm. IlliGAL Tech Report No. 93005, University of Illinois at Urbana Champaign (1993).
14. Ritzel B. J., Eheart W. and Ranjithan S. Using genetic algorithms to solve a multiple objective groundwater pollution containment problem. Water Resources Res. 30(5), 1589-1603 (1994).
15. Cieniawski S. An investigation of the ability of GAs to generate the tradeoff curve of a multi-objective groundwater monitoring problem. Unpublished M.S. thesis, University of Illinois at Urbana Champaign (1993).
16. Fonseca C. M. and Fleming P. J. Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. Proc. Fifth Int. Conf. on Genetic Algorithms, San Mateo, pp. 416-423. Morgan-Kaufmann (1993).
17. Belegundu A. D., Murthy D. V., Salagame R. R. and Constans E. W. Multi-objective optimization of laminated ceramic composites using genetic algorithms. 5th AIAA/NASA/USAF/ISSMO Symp. on Multidisciplinary Analysis and Optimization, Panama City, pp. 1015-1022. AIAA Inc. (1994).
18. Osyczka A. and Kundu S. A new method to solve generalized multicriterion optimization problems using the simple genetic algorithm. Structural Optimization. 10(2), 94-99 (1995).
19. Kundu S. A multicriteria genetic algorithm to solve optimization problems in structural engineering design. Int. Conf. on Information Technology in Civil and Structural Engineering Design - Taking Stock and Future Directions, Glasgow, Scotland, 1996. In press.
20. Kundu S., Kawata S. and Watanabe A. A multicriteria approach to control system design with genetic algorithm. Proc. IFAC '96-13th World Congress, 1996. International Federation of Automatic Control: Elsevier, Oxford. To be published.
21. Dorf R. C. and Bishop R. H. Modern Control Systems. Addison-Wesley, Reading, MA (1995).