Title :
Multivariable system identification for dynamic discrete-time nonlinear system using genetic algorithm
Author :
Ahmad, Rabiah ; Amaluddin, H.J. ; Hussain, M.A.
Author_Institution :
Fac. of Mech. Eng., Universiti Teknologi Malaysia, Johor, Malaysia
Abstract :
Model structure selection based on a genetic algorithm, which was originally derived for single-input single-output (SISO) systems, is extended to multi-input multi-output (MIMO) dynamic discrete-time nonlinear systems. This paper studies the algorithm in identifying the model structure for a jacketed continuous stirred tank reactor or CSTR. The adequacy of the developed model is tested using one step ahead prediction and cross validation test.
Keywords :
MIMO systems; discrete time systems; genetic algorithms; identification; multivariable control systems; nonlinear control systems; cross validation test; dynamic discrete-time nonlinear system; genetic algorithm; jacketed continuous stirred tank reactor; model structure selection; multi-input multi-output systems; multivariable system identification; one step ahead prediction; single-input single-output systems; Autoregressive processes; Continuous-stirred tank reactor; Genetic algorithms; Least squares methods; MIMO; Mathematical model; Nonlinear dynamical systems; Nonlinear systems; Polynomials; System identification;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1176409
