论文信息 - The predictive control for a class of nonlinear systems based on dynamic approximate hammerstein model

The predictive control for a class of nonlinear systems based on dynamic approximate hammerstein model

The increment minimized recursive predicting model, the generalized predicting control law and the parameter adaptive recursive predicting algorithm are presented for a class of nonlinear discrete-time systems with time delays based on dynamic approximate Hammerstein model. They realize the generalized predicting control for the time-delayed nonlinear systems with larger time delays. The simulation results prove the correctness and effectiveness of the proposed algorithm for direct generalized predictive control of a class of nonlinear systems.

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