测量参数未知随机系统的多模型对偶控制算法  

Dual Control Algorithm for Stochastic System with Parameters Drifting

作　　者：孙晋坤 杨恒占[1] SUN Jinkun;YANG Hengzhan(School of Electronic and Information Engineering,Xi'an Technological University,Xi'an 710021)

机构地区：[1]西安工业大学电子信息工程学院,西安710021

出　　处：《计算机与数字工程》2018年第7期1293-1296,共4页Computer & Digital Engineering

摘　　要：论文针对测量参数未知的随机系统提出一种对偶控制算法。利用多个子模型代替参数未知的系统模型,把大系统的分解-协调思想引入到多模型控制中,以各子模型的后验概率作为协调变量,将多个子模型的控制律进行融合归一,利用归一后的模型对系统进行控制,获得一种新的对偶控制策略。仿真结果表明了论文算法的有效性。A dual control algorithm is presented for stochastic system with measure parameters unknown.Multiple models are used to describe the system model,then the decomposition-coordination thought of large-scale systems is introduced to the dual control of multiple models firstly.Then,coordinational variables are used to integrate and normalize the control rules of multiple sub-models based on the extension of probability weighting of system parameters.Finally,normalized models are utilized to control the system.Simulation results illustrate the effectiveness of the algorithm.

关 键 词：随机系统 对偶控制 多模型 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]