A KHM multi-model predictive control method is presented based on data-driven for a sort of unknownstructure nonlinear system based on vast history data only. A database search strategy based on KHarmonic Means is given, “hard” cluster is “softening”. The similar cluster is selected, neighborhood and model parameters are determined on line according to the change of system operation point. This...

Predictive fuzzy PID control theory is developed in this paper, which o€ers a new approach for robust control of time-delay systems. The paper describes the functional structure, design principle, and stability analysis of a new predictive fuzzy PID controller. Sucient computer simulations are provided for illustration and veri®cation. First, the structure of the controller is derived from bot...

This paper introduces a method for synthesizing reduced-order nonlinear model-based predictive controllers that have support in an arbitrary open subset, for semilinear parabolic equations. The predictive control law is computed based on reduced-order, nonlinear multi-step-ahead finiteelement predictors, identified directly from experimental input-output data. An advantage of this approach is t...

This paper investigates a generalized dynamic predictive control (GDPC) strategy with novel autonomous tuning mechanism of the horizon for class nonlinear systems subject to mismatched disturbances. As new incremental function method, can be determined autonomously respect system working conditions, instead selecting fixed value via experience before, which is able effectively improve performan...