A novel system identification in networked environment

Hongwei Wang, Shan Sun
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Abstract

This paper is motivated by the practical modeling considerations of linear time-invariant systems working in a networked environment. Specifically, we limit the problem to off-line identification of open-loop stable continuous time systems in network. The identification problem is formulated under the configuration of event-driven actuators subject to random network induced delays and packet dropouts; the associated networked identification is based on the general non-uniformly sampled data. According to deal with colored process noise and unknown initial conditions, we proposed a modified version of the generalized linear least squares algorithm with a filter to estimate the parameters of the system model. A simulation example is presented to demonstrate the performance of the proposed algorithm.
一种新的网络环境下的系统识别方法
本文的动机是在网络环境下工作的线性时不变系统的实际建模考虑。具体来说,我们将问题限制为网络中开环稳定连续时间系统的离线辨识。在受随机网络引起的延迟和丢包影响的事件驱动致动器配置下,制定了识别问题;关联网络识别是基于一般的非均匀采样数据。针对有色过程噪声和未知初始条件,提出了一种改进的广义线性最小二乘算法,并引入了滤波器来估计系统模型的参数。最后通过仿真实例验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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