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We develop algorithms that find and track the optimal solution trajectory of time-varying convex optimization problems that consist of local and network-related objectives. The algorithms are derived from the prediction-correction methodology, which corresponds to a strategy where the time-varying problem is sampled at discrete time instances, and then, a sequence is generated via alternatively executing...
A framework to track the position and orientation of a moving rigid body is proposed. We consider a setup in which a few wireless sensors are mounted on a rigid body. The topology of how these sensors are mounted on the rigid body is known; however, the absolute position of the sensors or the rigid body itself is unknown. Using range-only measurements between the sensors and a few anchors (nodes with...
Distributed linear estimation theory has received increased attention in recent years due to several promising industrial applications. Distributed nonlinear estimation, however is still a relatively unexplored field despite the need in numerous practical situations for techniques that can handle nonlinearities. This paper presents a unified way of describing distributed implementations of three commonly...
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