An optimization-based adaptive iterative learning control algorithm achieves perfect tracking for unknown nonlinear time-varying systems from measured data only, with bounded parameter estimates and robustness to nonrepetitive disturbances.
Extended state obse rver-based data-driven iterative learning control for per manent magnet linear motor with initial shifts and disturbances,
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Optimization-Based Learning Control for Nonlinear Time-Varying Systems
An optimization-based adaptive iterative learning control algorithm achieves perfect tracking for unknown nonlinear time-varying systems from measured data only, with bounded parameter estimates and robustness to nonrepetitive disturbances.