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have a fast and stable change too, maintaining the
robustness of the controller.
Finally, the proposed ASPC and SPMSPC control
approaches were successful applied to an illustrative
example: gas water heater system. The ASPC
achieve better control results than the SPMSPC
because, even when the load (water flow / maximum
power) changes the dynamic of the system, the
linear parameters will adapt then selves. The
SPMSPC was optimise for a fixed maximum power
so if the maximum power changes the control results
will be worse than the ones achieved with the ASPC.
REFERENCES
Abonyi J., Babuska R., Botto M., Szeifert F., Nagy L.
2000. Identification and Control of Non-linear
Systems Using Fuzzy Hammerstein Models. Industrial
Engineering and Chemistry Research , vol. 39, no. 11,
pp. 4302-4314.
Abonyi J., Nagy L., Szeifert F., 1999. Adaptive Fuzzy
Inference System and its Application in Modelling and
Model Based Control
, Chemical Engineering Research
and Design, vol. 77A, pp. 281-290.
Abonyi J., Bódizs A., Nagy L., Szeifert F., 2000b. Hybrid
Fuzzy Convolution Model and its Application in
Model Predictive Control, Chemical Engineering
Research and Design, vol. 78(A), pp. 597-604.
Fink A., Nelles O., Fischer M. and Isermann R., 2001.
Nonlinear Adaptive Control of a Heat Exchanger,
International Journal of Adaptive Control and Signal
Proc., vol. 15(8), pp. 883-906.
Potmann M., Seborg D. 1997. A Nonlinear Predictive
Control Strategy Based on Radial Basis Function
Models
, Computers Chemistry Engineering, vol. 21
(9), pp. 965-980.
Tan Y., Nazmul Karim M., 2002. Smith Predictor Based
Neural Controller with Time Delay Estimation,
Proceedings of 15th Triennial World Congress, IFAC.
Tan Y., Cauwenberghe A., 1999. Neural Network Based d
steps ahead Predictors for Non-Linear Systems with
Time Delay, Engineering Applications of Artificial
Intelligence, vol. 12(1), pp. 21-35.
Vieira J., Mota A., 2003. Smith Predictor Based Neural
Fuzzy Controller Applied in a Water Gas Heater that
Presents a Large Time-Delay. Proceedings of IEEE
International Conference on Control Application, vol.
1, pp. 362-367.
Vieira J., Mota A., 2004a. Water Gas Heater Non-Linear
Physical Model: Optimisation with Genetic
Algorithms. Proceedings of IASTED 23
rd
International
Conference on Modelling, Identification and Control,
February 23-25, vol. 1, pp. 122-127.
Vieira J., Mota A., 2004b. Parameter Estimation of Non-
Linear Systems with Hammerstein Models Using
Neuro-Fuzzy and Polynomial Approximation
Approaches, Proceedings International Conference on
Fuzzy Systems IEEE-FUZZ 2004, July 25-29,
(accepted).
ADAPTIVE SMITH PREDICTIVE CONTROL OF NON-LINEAR SYSTEMS USING NEURO-FUZZY
HAMMERSTEIN MODELS
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