Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity

DOI10.1109/TAC.2019.2895245zbMath1482.93629OpenAlexW2912982360WikidataQ128545726 ScholiaQ128545726MaRDI QIDQ5211165

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

Publication date: 28 January 2020

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2019.2895245

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11)

Related Items (4)

H_∞ state-feedback control for saturated 2-D Roesser systems: the event-triggered case ⋮ Scalable recursive state estimation for nonlinear two‐dimensional complex networks with switching topology ⋮ Event-triggered non-fragile control for uncertain positive Roesser model with PDT switching mechanism ⋮ Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: the uncertain probabilities case

This page was built for publication: Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity