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    This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms.

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    It consists of three parts: calculation of distance measures, randomized testing, and hierarchical clustering.

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    It consists of three parts: calculation of distance measures, randomized testing, and hierarchical clustering.

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