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