Distributed robust filtering with H∞ consensus of estimates

The paper addresses a problem of design of distributed robust filters using the recent vector dissipativity theory. The main result is a sufficient condition which guarantees a suboptimal H∞ level of disagreement of estimates in a network of filters. It involves solving a convex optimization/feasibi...

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Veröffentlicht in:	Automatica (Oxford) Jg. 47; H. 1; S. 1 - 13
1. Verfasser:	Ugrinovskii, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.01.2011 Elsevier
Schlagworte:	Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Consensus Control theory. Systems Distributed robust filtering Exact sciences and technology Gradient algorithms Large-scale systems Modelling and identification Software Vector dissipativity Vector Lyapunov functions Gradient algorithms Vector dissipativity Large-scale systems Distributed robust filtering Consensus Vector Lyapunov functions Convex programming Gradient descent Hamiltonian graph Observer Linear matrix inequality System identification Mathematical programming Large scale system Gradient H infinite control Distributed system Synchronization Search algorithm Robust control Filter Dissipative system Descent method Feasibility Sensor array Lyapunov function
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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