Finite-Time Distributed State Estimation Over Sensor Networks With Round-Robin Protocol and Fading Channels
研究了传感器网络中离散时间非线性系统的有限时间分布式状态估计问题，引入轮询协议应对信道容量限制，用乘性噪声模拟信道衰落，并设计了估计器增益。
This paper considers finite-time distributed state estimation for discrete-time nonlinear systems over sensor networks. The Round-Robin protocol is introduced to overcome the channel capacity constraint among sensor nodes, and the multiplicative noise is employed to model the channel fading. In order to improve the performance of the estimator under the situation, where the transmission resources are limited, fading channels with different stochastic properties are used in each round by allocating the resources. Sufficient conditions of the average stochastic finite-time boundedness and the average stochastic finite-time stability for the estimation error system are derived on the basis of the periodic system analysis method and Lyapunov approach, respectively. According to the linear matrix inequality approach, the estimator gains are designed. Finally, the effectiveness of the developed results are illustrated by a numerical example.