The problem of robust state estimation for linear systems with uncertain parameters and noise is considered in this paper.
本文研究了一类具有参数和噪声特性不确定线性系统的鲁棒状态估计问题。
Based on the robust estimation in the state-space and the adaptive modification of prediction covariance matrix, a new algorithm was proposed to track Thevenin equivalent parameters.
融合预报协方差矩阵的自适应调整和状态空间鲁棒性估计，给出辨识戴维南等值参数的新算法。
An efficient method for the estimation of both the state and unknown parameters is presented in this paper.
本文提出了一种有效的状态和参数的联合估计方法。
It is shown that the state estimation errors are uniformly bounded and the estimation errors can be made arbitrarily small by choosing some design parameters appropriately.
本文从理论上证明了所设计的观测器误差一致有界，并且通过恰当选择有关设计参数可使估计误差任意小。
It is shown that the state estimation errors are uniformly bounded and the estimation errors can be made arbitrarily small by choosing some design parameters appropriately.
本文从理论上证明了所设计的观测器误差一致有界，并且通过恰当选择有关设计参数可使估计误差任意小。
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