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.
- (control
- algorithms,
- analysis
- analysis,
- computer
- control
- control,
- differential
- dynamics,
- equations,
- error
- genetic
- helicopter
- identification
- identification,
- mathematical
- models,
- nonlinear
- programming,
- rotors,
- simulation,
- speed
- system
- systems),
- systems,
- tanks,
- water
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