Randomized algorithms ; learning theory ; robust control 随机化算法学习理论鲁棒控制
Robust control design based on randomized algorithms 基于随机化算法的鲁棒控制器设计
Currently , there are mainly two kinds of research methods on this problem : meta - heuristics approach and randomized algorithms 目前,对于实体空间优化摆放问题,国内外研究中所用的方法主要有两种:用启发式规则的方法以及用随机算法求解。
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 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。
Xu y . studies on randomized algorithms for sat problem and its phase transition phenomenon [ ph . d . thesis ] . hefei : university of science and technology ofchina , 2002 ( in chinese with english abstract ) 徐云. sat问题的随机算法及其相变现象研究[博士学位论文] .合肥:中国科学技术大学, 2002
A randomized algorithm is an algorithm which employs a degree of randomness as part of its logic. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random bits.