将学习理论与鲁棒控制相结合，采用随机化算法针对实参数不确定系统讨论了鲁棒控制器的设计问题。

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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认知弹性理论是建构主义学习理论的一个重要分支，其主要内容可归结为高级学习说：随机通达教学说和超文本学习环境说。

Cognitive Flexibility Theory is an important branch of constructivism with its main contents of advanced learning, Random Access Instruction and Hypertext learning Environment.

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最后证明基于双重随机样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。

Finally the key theorem of statistical learning theory based on random rough samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.

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