Robust filtering for 2-d systems with uncertain-variance noises and weighted try-once-discard protocols

HIGHLIGHTS

SUMMARY

Feature that the system states transmit along two independent directions. Pertaining to 2-D systems, the filter design issue has served as one of the critical research topics, where many efficient approaches have been proposed in the literature inlcuding the H∞ filtering schemes, the Kalman filtering algorithms, and the robust filtering strategies,,, Kalman filtering is an effective tool to tackle linear systems subject to Gaussian noises with known statistics in hope of acquiring the optimal filtering error variance (EV) at every iteration. The core idea of robust filtering is to first construct a proper . . .

 



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