Delay compensation-based state estimation for time-varying complex networks with incomplete observations and dynamical bias
Delay compensation-based state estimation for time-varying complex networks with incomplete observations and dynamical bias
复制标题
具有不完整观测和动态偏差的时变复杂网络的基于延迟补偿的状态估计
DOI：
10.1109/tcyb.2020.3043283
复制
发表时间：
--
影响因子：
11.8
通讯作者：
Liu Guo-Ping
中科院分区：
文献类型：
--
作者：
Hu Jun;Wang Zidong;Liu Guo-Ping
针对一类具有网络诱导不完全观测（NIIOs）和动态偏差的离散时变复杂网络，提出了一种基于时延补偿的状态估计（DCBSE）方法. NIIO包括通信延迟和衰落观测，其中衰落观测由一组相互独立的随机变量建模。此外，考虑到可能的偏差，这是由一个动力学方程描述。提出了一种基于预测的估计机制来补偿通信时延对系统性能的影响。本文主要讨论了具有NIIO和动态偏差的DTVCN的估计方法设计和性能讨论问题。特别地，提出了一种新的分布式状态估计方法，其中获得了估计误差协方差矩阵的局部最小上界，并设计了一种递归方法来确定估计器增益矩阵。此外，性能评价标准的单调性提出了从分析的角度。最后，通过实验比较，验证了新方法的有效性和优越性。
In this article, a delay-compensation-based state estimation (DCBSE) method is given for a class of discrete time-varying complex networks (DTVCNs) subject to network-induced incomplete observations (NIIOs) and dynamical bias. The NIIOs include the communication delays and fading observations, where the fading observations are modeled by a set of mutually independent random variables. Moreover, the possible bias is taken into account, which is depicted by a dynamical equation. A predictive scheme is proposed to compensate for the influences induced by the communication delays, where the predictive-based estimation mechanism is adopted to replace the delayed estimation transmissions. This article focuses on the problems of estimation method design and performance discussions for addressed DTVCNs with NIIOs and dynamical bias. In particular, a new distributed state estimation approach is presented, where a locally minimized upper bound is obtained for the estimation error covariance matrix and a recursive way is designed to determine the estimator gain matrix. Furthermore, the performance evaluation criteria regarding the monotonicity are proposed from the analytic perspective. Finally, some experimental comparisons are proposed to show the validity and advantages of the new DCBSE approach.