A fully distributed weight design approach to consensus Kalman filtering for sensor networks
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Publication:1737898
DOI10.1016/j.automatica.2019.02.052zbMath1415.93273OpenAlexW2921176439WikidataQ128237774 ScholiaQ128237774MaRDI QIDQ1737898
Publication date: 24 April 2019
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2019.02.052
Filtering in stochastic control theory (93E11) Communication networks in operations research (90B18) Stochastic network models in operations research (90B15) Estimation and detection in stochastic control theory (93E10) Hierarchical systems (93A13) Stability of control systems (93D99)
Related Items (11)
Consensus of general linear multi-agent systems based on second-order neighbours' information: directed topology case ⋮ Event-triggered distributed state estimation over wireless sensor networks ⋮ Secure consensus control for multi‐agent systems against attacks on actuators and sensors ⋮ Adaptive fully distributed anti-disturbance containment control for heterogeneous multi-agent systems ⋮ Distributed adaptive output consensus for high-order multiagent systems with input saturation and uncertain nonlinear dynamics ⋮ Discrete-time stochastic consensus: a Kalman-filter-based two-time-scale protocol ⋮ Globally optimal distributed time-varying weight information filter of mobile sensor network ⋮ Complex group consensus of multi-agent systems with cooperative-competitive mechanisms: acyclic partition method ⋮ Convergence analysis of first-order discrete multi-agent systems with cooperative-competitive mechanisms ⋮ \(\mathcal{H}_\infty\) consensus control of multi-agent systems under attacks with partially unknown Markovian probabilities ⋮ Weight allocation in Laplacian matrix of random networks based on geodesic distances
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