This paper is concerned with the state estimation problem for delayed complex dynamic networks with non-identical local dynamical systems. The state estimation is conducted based on constrained information of the measurement outputs. Specifically, the network outputs are available only from a portion of network nodes, and such outputs are transmitted from the network nodes to the estimator in an intermittent way. By utilizing the Halanay inequality method as well as the average dwell-time approach, two sets of sufficient conditions are established that ensure the error dynamics of the state estimation to converge to zero exponentially, and explicit expressions of the estimator gains are further characterized. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed approaches.

本文涉及具有非相同局部动态系统的延迟复杂动态网络的状态估计问题。状态估计是基于测量输出的约束信息进行的。具体来说，网络输出只能从一部分网络节点获得，并且这些输出以间歇方式从网络节点传输到估计器。通过利用 Halanay 不等式方法以及平均停留时间方法，建立了两组充分条件，以确保状态估计的误差动态以指数方式收敛到零，并且进一步表征了估计器增益的显式表达式。最后，给出了一个数值例子来证明所提出方法的有效性。