1. Brunel University Research Archive

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Issue DateTitleAuthor(s)
2016A new approach to non-fragile state estimation for continuous neural networks with time-delaysYang, F; Dong, H; Wang, Z; Ren, W; Alsaadi, FE
2016A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurementsHu, J; Wang, Z; Liu, S; Gao, H
2015Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertaintiesYu, Y; Dong, H; Wang, Z; Ren, W; Alsaadi, FE
2015An integrated approach to global synchronization and state estimation for nonlinear singularly perturbed complex networksCai, C; Wang, Z; Xu, J; Liu, X; Alsaadi, FE
2016Almost sure state estimation with H2-type performance constraints for nonlinear hybrid stochastic systemsYang, H; Shu, H; Wang, Z; Alsaadi, FE; Hayat, T
2012H-infinity state estimation for discrete-time complex networks with randomly occurring sensor saturations and randomly varying sensor delaysDing, D; Wang, Z; Shen, B; Shu, H
2012Identification of nonlinear lateral flow immunoassay state-space models via particle filter approachZeng, N; Wang, Z; Li, Y; Du, M; Liu, X
2017Event-based state estimation for a class of complex networks with time-varying delays: A comparison principle approachZhang, W; Wang, Z; Liu, Y; Ding, D; Alsaadi, FE
1-Sep-2017Event-Triggered H∞ state estimation for delayed stochastic memristive neural networks with missing measurements: The discrete time caseLiu, H; Wang, Z; Shen, B; Liu, X
Jan-2019State estimation under false data injection attacks: Security analysis and system protectionHu, L; Wang, Z; Han, QL; Liu, X

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