Parallel recursive algorithms in asymptotically efficient adaptive control of linear stochastic systems
Parallel recursive algorithms in asymptotically efficient adaptive control of linear stochastic systems
复制标题
线性随机系统渐近高效自适应控制中的并行递归算法
DOI：
10.1137/0329059
复制
发表时间：
1991
影响因子：
2.2
通讯作者：
Z. Ying
中科院分区：
文献类型：
--
作者：
T. Lai;Z. Ying
首先，回顾了线性随机系统随机自适应控制的一些最新进展。通过整合和完善这些发展中的几个基本思想，为此类系统提供了自适应控制问题的相对完整的渐近解决方案。该解决方案涉及并行实现一些相互补充的基本递归识别算法。它还涉及偶尔使用抖动信号来探测系统以获取信息。
First, a review of some recent developments in stochastic adaptive control of linear stochastic systems is given. By integrating and refining several basic ideas in these developments, a relatively complete asymptotic solution to the adaptive control problem is then provided for such systems. The solution involves parallel implementation of a few basic recursive identification algorithms that serve to complement each other. It also involves occasional use of a dither signal to probe the system for information.