Recursive state estimation for two-dimensional shift-varying systems with random parameter perturbation and dynamical bias

DOI10.1016/j.automatica.2019.108658zbMath1430.93209OpenAlexW2982051274MaRDI QIDQ2288668

Fan Wang, Xiao Hui Liu, Zidong Wang, Jinling Liang

Publication date: 20 January 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2019.108658

zbMATH Keywords

signal quantizationtwo-dimensional systemsrecursive state estimationrandom parameter perturbationsstochastic bias

Mathematics Subject Classification ID

Perturbations in control/observation systems (93C73) Estimation and detection in stochastic control theory (93E10)

Related Items (9)

Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol ⋮ Fusion filtering for rectangular descriptor systems with stochastic bias and random observation delays under weighted try-once-discard protocol ⋮ Zonotopic set-membership estimation for time-varying systems subject to dynamical biases and quantization effects ⋮ Scalable recursive state estimation for nonlinear two‐dimensional complex networks with switching topology ⋮ Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols ⋮ \( H_{\infty}\) control for continuous-discrete systems in T-S fuzzy model with finite frequency specifications ⋮ Distributed recursive filtering for time-varying systems with dynamic bias over sensor networks: tackling packet disorders ⋮ State and output feedback local control schemes for nonlinear discrete-time 2-D Roesser systems under saturation, quantization and slope restricted input ⋮ Estimation for power quality disturbances with multiplicative noises and correlated noises: a recursive estimation approach

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