Nonlinear model structure identification using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Gray:1998:CEP,
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author = "Gary J. Gray and David J. Murray-Smith and Yun Li and
Ken C. Sharman and Thomas Weinbrenner",
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title = "Nonlinear model structure identification using genetic
programming",
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journal = "Control Engineering Practice",
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volume = "6",
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pages = "1341--1352",
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year = "1998",
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number = "11",
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keywords = "genetic algorithms, genetic programming, nonlinear
models, system identification, helicopter dynamics,
Nonlinear control systems, Identification (control
systems), Mathematical programming, Differential
equations, Error analysis, Mathematical models,
Computer simulation, Water tanks, Helicopter rotors,
Speed control, Control system analysis",
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URL = "http://www.sciencedirect.com/science/article/B6V2H-3W1GPR8-4/1/047d9c74e28a6a1a117a3ed9a6d6c409",
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abstract = "Genetic Programming is an optimisation procedure which
may be applied to the identification of the nonlinear
structure of a dynamic model from experimental data. In
such applications, the model structure may be described
either by differential equations or by a block diagram
and the algorithm is configured to minimise the sum of
the squares of the error between the recorded
experimental response from the real system and the
corresponding simulation model output. The technique
has been applied successfully to the modelling of a
laboratory scale process involving a coupled water tank
system and to the identification of a helicopter rotor
speed controller and engine from flight test data. The
resulting models provide useful physical insight.",
- }
Genetic Programming entries for
Gary J Gray
David James Murray-Smith
Yun Li
Kenneth C Sharman
Thomas Weinbrenner
Citations