具有网络诱导时延和数据丢包的网络保性能状态估计

Estimation of guaranteed cost state on complex network with induced delay and data dropout

针对复杂网络在数据传输过程中会出现时延和数据丢包的特点,研究了同时具备时延和数据丢包复杂网络的保性能状态估计问题,旨在减少传输过程中出现的时延和丢包对状态估计的影响。根据李雅普诺夫稳定性理论和随机分析方法,以线性不等式的方式提出了满足相关性能指标要求的状态估计器增益矩阵的设计要求。估计状态误差在满足渐进收敛前提下,能进一步满足实际应用的性能指标要求。仿真结果表明,所设计的保性能状态估计器可以有效地估计出源复杂网络的状态信息。

Aimed at characteristics of delay and data packet dropout in the process of data transmission, it is necessary to study the problem of guaranteed cost performance for complex networks with delay and packet dropout to reduce the impact of delay and data packet loss on state estimation in the transmission process. According to the Lyapunov stability theory and stochastic analysis method, the linear matrix inequality （LMI） is proposed to meet the requirements of the relevant performance for the state estimator gain matrix design. To satisfy the convergence of the mean square exponent, the estimation error can achieve the required performance index. Simulation results show that the proposed guaranteed performance state estimator can effectively estimate the state information of the source complex network.