Distributed \(H_{\infty}\) state estimation for stochastic delayed 2-D systems with randomly varying nonlinearities over saturated sensor networks

DOI10.1016/j.ins.2015.11.020zbMath1429.93368OpenAlexW2185162863MaRDI QIDQ2282155

Jinling Liang, Tasawar Hayat, Ahmed Alsaedi, Zidong Wang

Publication date: 6 January 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.11.020

zbMATH Keywords

distributed state estimationtwo-dimensional (2-D) systemssensor saturation\(H_{\infty}\) indexrandomly varying nonlinearities (RVNs)

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36) Asymptotic stability in control theory (93D20) Networked control (93B70)

Related Items (10)

Finite-region dissipative dynamic output feedback control for 2-D FM systems with missing measurements ⋮ Leader-following-based distributed Kalman filtering in sensor networks with communication delay ⋮ Filtering of two-dimensional periodic Roesser systems subject to dissipativity ⋮ Synchronization analysis for stochastic inertial memristor-based neural networks with linear coupling ⋮ Distributed \(H_\infty\) state estimation in sensor network subject to state and communication delays ⋮ On hybrid consensus-based extended Kalman filtering with random link failures over sensor networks ⋮ Stochastic \(H_{\infty}\) filtering for neural networks with leakage delay and mixed time-varying delays ⋮ Stability analysis and synthesis for switched Takagi-Sugeno fuzzy positive systems described by the Roesser model ⋮ Finite-horizon H_∞ filtering and fault isolation for a class of time-varying systems with sensor saturation ⋮ Adaptive sliding mode control for 2D nonlinear Fornasini–Marchesini model subject to quantisation and packet dropouts

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