Abstract
In order to overcome the influences of model mismatch or sometimes non-linear variables and interference in generalized predictive control process, that cause a lag, being unstable and uncertain and make the predictive result not ideal, the paper presented a generalized predictive optimization control algorithm based on wavelet transformation. In the paper, we made the anatomy of localized nature and characteristics in translation, expansion and contraction for wavelet analysis, constructed the implicit generalized predictive control algorithm based on wavelet analysis, and derived a sort of generalized predictive optimization control algorithm. The experiment contrast simulations demonstrated that it could greatly improve predictive control quality. The study results show that the improved algorithm presented in this paper can be higher in predictive control precision, faster in predictive operating time, and it provides a new algorithm for reference.
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