A minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{imae:2003:amcdfnsbogpjcua,

• author = "Joe Imae and Nobuyuki Ohtsuki and Yoshiteru Kikuchi and Tomoaki Kobayashi",
• title = "A minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach",
• booktitle = "Proceedings of the 2003 Congress on Evolutionary Computation CEC2003",
• editor = "Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon",
• pages = "1702--1707",
• year = "2003",
• publisher = "IEEE Press",
• address = "Canberra",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "8-12 " # dec,
• organisation = "IEEE Neural Network Council (NNC), Engineers Australia (IEAust), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
• keywords = "genetic algorithms, genetic programming, Control design, Control systems, Design methodology, Differential equations, Minimax techniques, Nonlinear control systems, Nonlinear systems, Optimal control, Partial differential equations, minimax techniques, nonlinear control systems, Jung collective unconscious, difficulty-free design, minimax control problem, minimax controller design, minimisation process, nonlinear systems",
• ISBN = "0-7803-7804-0",
• DOI = "doi:10.1109/CEC.2003.1299878",
• abstract = "When it comes to the minimax controller design, it would be extremely difficult to obtain such controllers in the nonlinear situations. One of the reasons is that the minimax controller should be robust against any kind of disturbances in the nonlinear situations. In this paper, we propose a difficulty-free design method of minimax control problems. First, based on the genetic programming and Jung's collective unconscious, this paper presents a very simple design technique to solve the minimax control problems, where the minimax controller may be constructed only paying attention to the minimisation process. It would be surprising that the maximization process is not needed in the construction of minimax controllers. Then, some simulations are given to demonstrate the usefulness of the proposed design technique with the identification problem, and minimax control problems.",
• notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust, the EPS, and the IEE.",

}

Genetic Programming entries for Joe Imae Nobuyuki Ohtsuki Yoshiteru Kikuchi Tomoaki Kobayashi

Citations