Robust stability of iterative learning control schemes

Robust Stability of Iterative Learning Control Schemes

A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standardH gap metric, and the resulting robustness certificate is qualitatively equivalent to that obtained in classical robust H∞ theory. A bound on the robust stability margin for...

Robust Iterative Learning Control

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Robust Iterative Learning Control A Literature Survey

Perfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control

In this manuscript, a new method is proposed to provide a perfect tracking of the supercavitation system based on a new two-state model. The tracking of the pitch rate and angle of attack for fin and cavitator input is of the aim. The pitch rate of the supercavitation with respect to fin angle is found as a non-minimum phase behavior. This effect reduces the speed of command pitch rate. Control...

2d Model Predictive Iterative Learning Control Schemes for Batch Processes

Iterative learning control (ILC) system is modelled and treated as a 2D system in this paper. Based on single-batch and multi-batch cost functions, 2D model predictive iterative learning control (2D-MPILC) schemes are developed in the framework of model predictive control (MPC) for the 2D system. Structure analysis shows that the resulted 2D-MPILC laws are causal and they implicitly combine a t...