Multivariable nonparametric learning: A robust iterative inversion‐based control approach

Robust Iterative Learning Control

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Robust Iterative Learning Control A Literature Survey

Multivariable norm optimal iterative learning control with auxiliary optimisation

Multivariable norm optimal iterative learning control with auxiliary optimisation David H. Owens a b c , Chris T. Freeman b & Bing Chu b a Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, Mappin Street, UK b Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, Highfield, UK c Department of Advanced Robotics, Instit...

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...

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...