受复杂多通道通信约束的网络化系统H2/H∞滤波

多通道网络化系统中每个通道存在不尽相同的网络不确定性因素, 使得H₂/H_∞ 滤波更加困难. 对此, 提出一种受多通道通信约束的网络化系统滤波方法. 首先, 基于最大数据包错序思想解决了传感器到滤波器之间的复杂多通道通信约束的问题; 然后, 建立了更加普适的融合多通道通信约束的滤波误差动态系统模型, 证明了在已知最长网络延时和最大连续丢包数情况下, 所设计的滤波器可使系统随机稳定且满足??2/??∞ 性能指标. 仿真结果表明该方法可行且有效.

H2/H∞ filtering for networked systems with complex multi-channel communication constraints

The H₂/H_∞  filtering for complex multi-channel networked systems with different network-related nondeterministic issues in each channel is studied, where multiple signals are encapsulated into single packet and transmitted through one common channel. By using a maximum data packet out-of-order strategy, multi-channel communication constraints from the sensor to the filter are firstly solved within one framework. A generalized comprehensive filtering error dynamic system model which contains multi-channel communication constraints is then established. Under the known maximum network-induced delays and the known number of data packet dropout, the designed filter enables multi-channel error dynamic system to be stochastic stability and to guarantee a prescribed H₂/H_∞ performance. Numerical simulation results show the feasibility and efficiency of the proposed method.