K.K. Tan, S.N. Huang, and T.H. Lee
Generalized predictive control, iterative learning control, stability
In this paper, a generalized predictive control (GPC) algorithm is developed for linear discrete systems that is capable of effectively addressing the presence of disturbances that are periodic in nature. First, a GPC algorithm is derived based on the assumption of the presence of a periodic disturbance. Next, a feedforward disturbance learning scheme is proposed for estimating the periodic disturbance. Finally, two su.cient conditions are provided to guarantee the convergence of the disturbance learning law.
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