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As a feedforward control strategy, iterative learning control (ILC) is used to track a pre-defined reference and reject repetitive disturbances iteratively, but it is incapable of compensating for non-repetitive disturbances. Thus, ILC is often combined with a well-designed feedback controller. Considering nonlinear process, this paper presents an integrated ILC and on-line model predictive (MPC)...
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