State estimation for a class of artificial neural networks with stochastically corrupted measurements under round-robin protocol
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Publication:2418136
DOI10.1016/j.neunet.2016.01.001zbMath1415.93254OpenAlexW2267583898WikidataQ39956897 ScholiaQ39956897MaRDI QIDQ2418136
Tasawar Hayat, Guoliang Wei, Yuqiang Luo, Zidong Wang, Fuad Eid S. Alsaadi
Publication date: 3 June 2019
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2016.01.001
state estimationnonlinearityartificial neural networkactivation functionround-robin protocolnoise intensity function
Semidefinite programming (90C22) Learning and adaptive systems in artificial intelligence (68T05) Estimation and detection in stochastic control theory (93E10) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)
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