A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures

• Published in: IEEE transaction on neural networks and learning systems Vol. 31; no. 10; pp. 4381 - 4388
• Main Authors: Li, Qi, Wang, Zidong, Li, Nan, Sheng, Weiguo
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Complex networks; Complex networks (CNs); Covariance; dynamic event-triggered mechanisms (ETMs); Dynamic scheduling; Failure; Filters; Heuristic algorithms; IIR filters; Markov chains; Markov processes; Network topologies; recursive filtering; Recursive methods; sensor failures; Sensors; Stochasticity; Switches; Switching; switching topologies; Topology; Upper bounds

This article deals with the recursive filtering issue for a class of nonlinear complex networks (CNs) with switching topologies, random sensor failures and dynamic event-triggered mechanisms. A Markov chain is utilized to characterize the switching behavior of the network topology. The phenomenon of...