摘要

An adaptive predictive functional control method for a class of discrete nonlinear systems is presented by changing the nonlinear model into an equivalent time varying linear model. RLS algorithm is used to identify the time- varying coefficients. The structure of this method is similar to classic PI optimal controller. Its control performance and robustness are superior to traditional predictive functional control methods which only consider output errors. Simulation results show that it is better than classic PI optimal controller.

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