基于累积的ETM调度下的非线性网络化系统的最终有界状态估计问题研究

Research on the Final Bounded State Estimation Problem of Nonlinear Networked Systems Under Accumulation-Based ETM Scheduling

研究了基于累积的ETM调度下的非线性网络化系统的最终有界状态估计问题。为了减少传输过程中不必要的资源浪费,引入基于累积的ETM,以调度传感器到远程估计器之间的信号传输。与传统的触发机制相比,该基于累积的ETM对突变信号更具鲁棒性。为确保估计误差系统满足给定的最终有界性能,需设计一个状态估计器。首先,提出一个使得估计误差能够满足最终有界性能的充分条件;然后,通过矩阵不等式,求解出期望的估计器增益;最后,通过仿真案例来验证所提策略的有效性。

This paper investigates the ultimately bounded state estimation problem of nonlinear networked systems under the accumulation-based event-triggered mechanism scheduling.In order to reduce unnecessary resource waste during the transmission process,an accumulation-based event-triggered mechanism is introduced to schedule signal transmission between sensors and remote estimators.Unlike traditional event-triggered mechanisms,this accumulation-based event-triggered mechanism is more robust to mutation signals.To ensure that the estimation error system meets the given ultimately bounded performance,a state estimator needs to be designed.Firstly,propose a sufficient condition for the estimation error to satisfy the ultimately bounded performance.Then,by using matrix inequalities,the desired estimator gain is obtained.Finally,the effectiveness of the proposed strategy is verified through simulation cases.