A nonlinear control system design based on HJB/HJI/FBI equations via a differential genetic programming approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{imae:2003:ancsdbohevadgpa,
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author = "Joe Imae and Yoshiteru Kikuchi and
Nobuyuki Ohtsuki and Tomoaki Kobayashi",
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title = "A nonlinear control system design based on
{HJB/HJI/FBI} equations via a differential genetic
programming approach",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "763--769",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Automatic
control, Control systems, Design methodology,
Differential equations, Nonlinear control systems,
Nonlinear equations, Nonlinear systems, Optimal
control, Robust control, control system synthesis,
differentiation, nonlinear control systems, optimal
control, robust control, Francis-Byrnes-Isidori
equations, Hamilton-Jacobi-Bellman equations,
Hamilton-Jacobi-Isaacs equations, differential genetic
programming, nonlinear control system design, optimal
controllers, robust controllers",
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ISBN = "0-7803-7804-0",
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DOI = "doi:10.1109/CEC.2003.1299744",
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abstract = "Based on the differential genetic programming, a new
design method is proposed for optimal and/or robust
controllers of nonlinear systems. First we introduce a
new type of the genetic programming (GP), so-called
differential GP (DGP), combining GP with an automatic
differentiation scheme, which could solve
Hamilton-Jacobi-Bellman (HJB) / Hamilton-Jacobi-Isaacs
(HJI) / Francis-Byrnes-Isidori (FBI) equations. Lastly,
the effectiveness of a DGP based design method is
demonstrated through some design examples of nonlinear
systems.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Joe Imae
Yoshiteru Kikuchi
Nobuyuki Ohtsuki
Tomoaki Kobayashi
Citations