In this paper a new algorithm for local estimation approximating a function by means of local models is introduced. The instant or in-time estimation provides an attractive alternative for nonlinear identification, since it requires Jess structural decisions to be made by the user. It represents a hybrid between local and global modeling. This estimation procedure is combined with predictive algorithm with a modification cost function for efficient control. Simulation results are provided to prove the results of the proposed approach.
Nonlinear predictive control, in-time estimation, multimodels, optimization.
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