摘要
提出了可以控制具有任意交互矩阵的随机多变量系统的间接自适应控制算法并进行了稳定性和收敛性分析。首次表明:该算法无论用于开环不稳定或非最小相位系统,系统的输入输出以概率1采样均方有界,广义输出误差的条件均方取得整体最小值;参数估计强相容。
An indirect adaptive control algorithm for stochastic multivariable systems having an arbitrary interactor matrix is presented , and the stability and convergence analysis for the algorithm is given. It is shown first that , with probability one, the system inputs and outputs are sample-mean-square bounded and the condition mean square generalized tracking error achieves its global minimum possible value , and parameter estimates are strongly consistent even for unstable and/or nonminimum-phase systems.
基金
国家教委博士点基金
关键词
多变量系统
自适应控制
全局收敛性
system interactor matrix, stochastic multivariable systems, indirect adaptive, global convergence, strong consistency.
