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提出了一种输入同时受到幅值与速度约束的多变量随机自适应控制算法，该算法通过预选加权阵与在线修改相结合，可以抵消输入非线性特性，并有限度地防止控制进入非线性区间．这种新方法适用于具有任意交互矩阵的非最小相位的随机系统．本文给出了算法的全局收敛性分析和仿真实例．
A multivariable stochastic adaptive control algorithm with both input and amplitude constraints is presented. This algorithm combines the preselected weighting matrix with on-line modification to counteract the input nonlinearity and to a limited extent prevent the control from entering the nonlinear range . This new method is suitable for stochastic systems with non-minimum phase of any interaction matrix. This paper gives the global convergence analysis and simulation examples.