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A New Kalman Filter Based State Estimation Method for Multi-input Multi-output Unit Time-delay Systems

机译:多输入多输出单元时滞系统的一种新的基于卡尔曼滤波的状态估计方法

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A new state estimation method for unit time-delay systems will be presented in this paper. Kalman filter will be considered to estimate the states of a linear system with unit time-delay. First, an augmented state vector is defined which consists of the main state vector and the state vector with a unit time-delay. The states of the augmented system will be estimated using Kalman filter algorithm. From the augmented state vector, the main state vector can be obtained. Finally, an example is provided to test the performance of the proposed method.
机译:本文提出了一种新的单位时滞系统状态估计方法。将考虑使用卡尔曼滤波器来估计具有单位时间延迟的线性系统的状态。首先,定义一个增强状态向量,它由主状态向量和具有单位时间延迟的状态向量组成。增强系统的状态将使用卡尔曼滤波算法进行估算。从增强状态向量,可以获得主要状态向量。最后,提供一个示例来测试所提出方法的性能。

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