基于事件触发离散基因调控网络的状态估计

Event-triggered state estimation for discrete-time genetic regulatory networks

为了节省网络通信资源,在状态估计器的构造中引进事件触发机制,通过构造李雅普诺夫泛函,并利用新的分析技术,得到估计误差系统最终有界的充分条件,在此基础上进一步解决了状态估计的实际问题.数值模拟验证了理论结果的有效性.

In this paper,the problem of state estimation for genetic regulatory network with noise is studied.In order to save network communication resources,event-triggered mechanism is introduced when using the state estimator.By constructing Lyapunov functionals and some new analytical techniques,a sufficient condition for the ultimate bounded estimation error system is derived.On this basis,the actual problem of state estimation is further solved.The validity of the theoretical results is verified by numerical simulation.