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 matrix
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 simulation
shows effectiveness and applicability of the proposed design approach.
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