Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems

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Studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. This monograph presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models.