Nonlinear model structure identification using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Gray:1998:CEP,

• author = "Gary J. Gray and David J. Murray-Smith and Yun Li and Ken C. Sharman and Thomas Weinbrenner",
• title = "Nonlinear model structure identification using genetic programming",
• journal = "Control Engineering Practice",
• volume = "6",
• pages = "1341--1352",
• year = "1998",
• number = "11",
• 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",
• URL = "http://www.sciencedirect.com/science/article/B6V2H-3W1GPR8-4/1/047d9c74e28a6a1a117a3ed9a6d6c409",
• 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