M. Umeda

Dual-Stage Iterative Learning Control With Markov Parameters Toward Pointwise Convergence Evaluation

The study proposes iterative Learning Control (ILC) for single-input, single-output, discrete-time, time-invariant linear systems, where system outputs are expressed by the convolution of Markov parameters and historical input data. In the proposed method, the input signals and system parameters are updated in a pointw...