Ahmad, R. and Jamaluddin, H. and Hussain, Mohd Azlan (2002) Multivariable system identification for dynamic discretetime nonlinear system using genetic algorithm. In: 2002 IEEE International Conference on Systems, Man and Cybernetics, 2002, Yasmine Hammamet.

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Abstract
The development of a multivariable system identification model for dynamic discretetime nonlinear system using genetic algorithm was discussed and analysed. The identification of model structure for a jacketed continuous stirred tank reactor or CSTR was taken as case study. The analysis showed that the proposed genetic algorithm provides an efficient way of determining the model structure of unknown nonlinear systems.
Item Type:  Conference or Workshop Item (Paper) 

Funders:  UNSPECIFIED 
Additional Information:  Conference code: 60870 Cited By (since 1996): 1 Export Date: 5 March 2013 Source: Scopus CODEN: PICYE Language of Original Document: English Correspondence Address: Ahmad, R.; Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia; email: robiah@fkm.utm.my References: Leontaritis, I.J., Billings, S.A., Inputoutput parameter models for nonlinear system. Part 1: Deterministic nonlinear system (1988) Int. Journal of Control, 4 (1), pp. 193210; Haber, R., Unbehauen, H., Structure identification of nonlinear dynamic systems  A survey on input/output approaches (1990) Automatica, 26, pp. 651677; Korenberg, M., Billings, S.A., Liu, Y.P., McIlroy, P.J., Orthogonal parameter estimation algorithm for nonlinear stochastic systems (1988) Int. Journal of Control, 48 (1), pp. 193210; Billings, S.A., Fadzil, M.B., The practical identification of systems with nonlinearities (1985) Proc. 7 th IFAC Symposium on Identification and System Parameter Estimation, pp. 155160. , York, UK; Chen, S., Billings, S.A., Luo, W., Orthogonal least square methods and their applications to nonlinear system identification (1989) Int. Journal of Control, 50 (5), pp. 18731896; Chaiyaratana, N., Zalzala, A.M.S., Recent developments in evolutionary and genetic algorithms: Theory and application (1997) Conf. on Genetic Algorithms in Engineering Systems: Innovation and Applications, (446), pp. 270277; Michalewicz, Z., (1992) Genetic Algorithms + Data Structures = Evolution Programs, , New York: SpringerVerlag; Li, C.J., Jeon, Y.C., Genetic algorithm in identifying nonlinear autoregressive moving average with exogenous input models for non linear systems (1993) Proc. of the American Control Conference, pp. 23052309. , San Francisco, California; Luh, G.G., Rizzoni, G., Nonlinear system identification using genetic algorithms with application to feedforward control design (1998) Proc. of the American Control Conference, pp. 23712375. , Philadelphia, Pennsylvania; Tan, K.C., Li, Y., MurraySmith, D.J., Sharman, K.C., System identification and linearisation using genetic algorithms with simulated annealing (1995) First IEE/IEEE Int. Conf. Of Genetic Algorithms in Engineering Systems: Innovation and Application, pp. 164169. , Sheffield, UK; Zibo, Z., Naghdy, F., Application of genetic algorithms to system identification (1995) IEEE Int. Conf. on Evolutionary Computation, 2, pp. 777787; SÃ¶derstrom, T., Stoica, P., (1989) System Identification, , Englewood Cliffs, NJ: PrenticeHall; Billings, S.A., Chen, S., Korenberg, M.J., Identification of MIMO nonlinear systems using a forwardregression orthogonal estimator (1989) Int. Journal of Control, 50 (6), pp. 21572189; Wahab, K.A., Hussain, M.A., Sulaiman, M.Z., Temperature control for chemical reactor using adaptive neural network control strategy (2000) TENCON 2000, , 2527 September, Kuala Lumpur, Malaysia; Eiben, A.E., Hinterding, R., Michalewicz, Z., Parameter control (2000) Evolutionary Computation 2: Advanced Algorithms and Operators, , (Eds) T. Back, D. B. Fogel and Z. Michalewicz, Bristol, UK: Institute of Physics Publishing 
Uncontrolled Keywords:  Genetic algorithm; Model structure selection; Multivariable system; System identification; Chemical reactors; Computational methods; Genetic algorithms; Identification (control systems); Mathematical models; Nonlinear control systems; Singleinput singleoutput (SISO) systems; Discrete time control systems. 
Subjects:  T Technology > TA Engineering (General). Civil engineering (General) T Technology > TP Chemical technology 
Divisions:  Faculty of Engineering 
Depositing User:  Mr Jenal S 
Date Deposited:  11 Jul 2013 01:26 
Last Modified:  10 Feb 2021 03:17 
URI:  http://eprints.um.edu.my/id/eprint/7078 
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