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:1.7970
- @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