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A STUDY ON THE ADAPTIVE PREDICTIVE CONTROL METHOD FOR MULTIVARIABLE BILINEAR PROCESSES

Korean Journal of Chemical Engineering, September 1995, 12(4), 472-477(6), 10.1007/BF02705813
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Abstract

A predictive control method for multivariable bilinear processes is derived based on ARMA model. To identify bilinear process models, we use simple equation error method extended to multivariable system. We can obtain the adaptive predictive controller for multivariable bilinear processes by incorporation of the identification algorithm. Offset compensator is provided to correct for the effects of unmeasured disturbances and model inaccuracies. A filter with a singled parameter is used to correct for the effects of an incorrect model. Results of simulation on multivariable bilinear processes show that the proposed control method has satisfactory performance.

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