Decentralized Adaptive Event-Triggered $H_\infty$ Filtering for a Class of Networked Nonlinear Interconnected Systems
针对一类网络化非线性互联系统，提出一种自适应事件触发条件，通过动态调整阈值来减少不必要的网络数据包传输，在保证滤波误差系统渐近稳定的同时降低网络带宽占用。
This paper focuses on the issue of designing an adaptive event-triggered scheme to the decentralized filtering for a class of networked nonlinear interconnected system. A novel adaptive event-triggered condition is proposed by constructing an adaptive law for the threshold. This new type of threshold mainly depends on the error between the states at the current sampling instant and the latest releasing instant, by which the data release rate is adapted to the variation of the system. The limitation of network bandwidth is alleviated on account of a large amount of "unnecessary" packets being dropped out before accessing the network. Sufficient conditions are derived such that the overall filtering error system under the proposed adaptive data-transmitting scheme is asymptotically stable with a prescribed disturbance attenuation level. An example is given to show the effectiveness of the proposed scheme.