Robust H∞ state estimation for BAM neural networks with randomly occurring uncertainties and sensor saturations
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.062
Abstract: Abstract In this paper, the robust H∞ state estimation problem is investigated for a class of discrete-time delayed bidirectional associative memory neural networks with randomly occurring uncertainties (ROUs) and sensor saturations. In order to more… read more here.
Keywords: state; randomly occurring; state estimation; sensor saturations ... See more keywords
Event-Triggered Distributed State Estimation Under Unknown Parameters and Sensor Saturations Over Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3109884
Abstract: In this brief, the distributed state and parameter estimation problem is addressed for a class of discrete-time nonlinear systems subject to sensor saturations over wireless sensor networks. In this regard, a novel estimation design is… read more here.
Keywords: sensor saturations; wireless sensor; sensor networks; distributed state ... See more keywords
A Dynamic Event-Triggered Approach to Recursive Nonfragile Filtering for Complex Networks With Sensor Saturations and Switching Topologies.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3049461
Abstract: In this article, the nonfragile filtering issue is addressed for complex networks (CNs) with switching topologies, sensor saturations, and dynamic event-triggered communication protocol (DECP). Random variables obeying the Bernoulli distribution are utilized in characterizing the… read more here.
Keywords: complex networks; event triggered; nonfragile filtering; sensor saturations ... See more keywords