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A Discrete-Time Adaptive Iterative Learning from Different Reference Trajectory for Linear Time-Varying Systems

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Key Words:Adaptive ILC; Discrete-Time; Linear time-varying Systems; Different reference trajectory; Data-driven control
Abstract:An adaptive ILC approach is presented for a linear MIMO discrete-time system to track different reference trajectory. The presented adaptive ILC is a data-driven approach in nature and the controller does not contain any modeling information of the plant. The unknown Markov parameter of the plant is iteratively estimated only using the I/O data of the plant. The rigorous analysis shows the asymptotic convergence of the presented method for iteration-varying reference trajectory.
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