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- W2041567337 abstract "This paper presents a model-free iterative learning control algorithm for linear time-invariant systems. At every trial, a finite impulse response filter to update the system input is calculated by solving a convex optimization problem that minimizes the next trial's tracking error taking into account actuator constraints. Simulation results show the ability of the proposed model-free method to deal with actuator constraints and to fully compensate for trial-invariant disturbances such as actuator cogging." @default.
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- W2041567337 date "2011-01-01" @default.
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- W2041567337 title "Model-free iterative learning control for LTI systems with actuator constraints" @default.
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- W2041567337 doi "https://doi.org/10.3182/20110828-6-it-1002.00511" @default.
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