有数据丢包的复杂网络的鲁棒保性能状态估计

Robust Estimation of Guaranteed Cost State for Complex Network with Missing Measurements

针对现实网络在数据传输中存在数据丢包和噪声干扰的特点,研究离散时间复杂网络的鲁棒保性能状态估计问题,旨在减小数据丢包和噪声干扰对状态估计的影响.利用Lyapunov稳定性理论与随机分析方法,以线性矩阵不等式的形式提出了鲁棒保性能状态估计增益矩阵存在的条件和设计准则,在满足状态估计误差均方指数收敛的前提下,能进一步使网络的状态估计满足一定的性能指标.仿真结果表明,鲁棒保性能状态估计器可以有效地估计复杂网络的状态.

To deal with data dropouts and noise in data transmission, this paper studies robust guaranteed cost state estimation of discrete-time complex networks, and focuses on reducing influence of data dropouts and noises on state estimation. Using the Lyapunov stability theory combined with stochastic analysis, an existence condition of the gain ma- trix and the relevant design criteria used in the robust guaranteed cost state estimation are proposed with linear matrix inequalities. With convergence of the estimation mean-square error, the robust guaranteed cost performance requirements are satisfied. Numerical simu-lation shows effectiveness and applicability of the proposed design approach.