... stm 发送测试信息 stochastic approximation method 随机近似法 stochastic convergence 随机收敛 ...
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Stochastic approximation method is suited to be used in model-free direct adaptive control due to its simple algorithm, free of the specific mathematic model of plant and the excellent ability to handle data with noise.
由于随机逼近算法具有算式结构简单,不需要对象的具体数学模型以及对含有噪声的数据有较好的处理能力等特点,使其非常适用于无模型直接自适应控制。
参考来源 - 基于随机逼近算法的无模型直接自适应控制·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
And then, we present an approximation method for solving this probabilistic constrained stochastic programming, and prove certain convergence of the method under some conditions.
随后我们提出了求解这类概率约束随机规划的一种近似算法，并在一定的条件下证明了算法的收敛性。
It is a method between the 'stable' and the stochastic approximation.
它是一种介于“稳定”和随机逼近之间的方法。
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