Protocol-based state estimation for delayed Markovian jumping neural networks
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Publication:2182899
DOI10.1016/j.neunet.2018.08.017zbMath1441.93302OpenAlexW2890361855WikidataQ91813645 ScholiaQ91813645MaRDI QIDQ2182899
Zidong Wang, Hongli Dong, Jiahui Li, Wei-Dong Zhang
Publication date: 26 May 2020
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: http://bura.brunel.ac.uk/handle/2438/18750
mode-dependent time delaysMarkovian jumping neural networkssensor nonlinearitiesexponentially ultimately bounded estimatorRound-Robin protocol
Estimation and detection in stochastic control theory (93E10) Delay control/observation systems (93C43) Networked control (93B70)
Related Items (8)
On finite-horizon \(H_\infty\) state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol ⋮ Generalized Ait-Sahalia-type interest rate model with Poisson jumps and convergence of the numerical approximation ⋮ \( l_2- l_\infty\) state estimation for delayed artificial neural networks under high-rate communication channels with round-robin protocol ⋮ Distributed event-triggered \(H_\infty\) filtering for semi-Markov jump systems with quantization and cyber-attacks ⋮ Protocol‐based collaborative design for discrete‐time switched systems with sojourn probabilities ⋮ Disturbance rejection for singular semi-Markov jump neural networks with input saturation ⋮ Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol ⋮ Observer-based non-fragile H∞-consensus control for multi-agent systems under deception attacks
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