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Distributed detection over adaptive networks based on diffusion estimation schemes

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Linear Parameter Varying Iterative Learning Control

Alireza Karimi, Mark Edward John Butcher

In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. Consistency of the algorithm in the presence of stochastic disturbances is shown ...

2009

Diffusion LMS-based distributed detection over adaptive networks

Ali H. Sayed

We consider the problem of distributed detection, where a set of nodes are required to decide between two hypotheses based on their measurements. In diffusion implementations, nodes communicate with their neighbors and no fusion center is needed. In previo ...

IEEE2009

Distributed Rate Allocation for Network-coded Systems

Christina Fragouli, Amin Jafarian

This paper addresses the problem of distributed rate allocation for a class of multicast networks employing linear network coding. The goal is to minimize the cost (for example, the sum rates allocated to each link in the network) while satisfying a multic ...

2009

Distributed rate allocation for network-coded systems

Christina Fragouli, Amin Jafarian

2009

Diffusion least-mean squares with adaptive combiners

Ali H. Sayed

This paper presents an efficient adaptive combination strategy for diffusion algorithms over adaptive networks in order to improve the robustness against the spatial variation of SNR over the network. The diffusion least-mean square (LMS) algorithm with th ...

IEEE2009

Self-organization in bird flight formations using diffusion adaptation

Ali H. Sayed

Flocks of birds self-organize into V-formations when they need to travel long distances. It has been shown that this formation allows the birds to save energy, by taking advantage of the upwash generated by the neighboring birds. In this work we use a simp ...

IEEE2009

A generalised stochastic model for the simulation of occupant presence

Jean-Louis Scartezzini, Jessen Page, Darren Robinson, Nicolas Morel

This paper describes an algorithm for the simulation of occupant presence, to be later used as an input for future occupant behaviour models within building simulation tools. By considering occupant presence as an inhomogeneous Markov chain interrupted by ...

2008

Comparison of Methods for Increasing the Performance of a DUA Computation

Computing realistic routes for a given road network and a known demand of vehicles is one of the most important steps when preparing a road traffic simulation. The approach developed by Christian Gawron in 1998 which we use for this purpose computes a dyna ...

2008

Diffusion recursive least-squares for distributed estimation over adaptive networks

Ali H. Sayed

We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in a collaborative manner some parameter of interest from their measurements. The centralized solution to the problem uses a fusion c ...

Institute of Electrical and Electronics Engineers2008

Steady-state performance of incremental learning over distributed networks for non-Gaussian data

Ali H. Sayed

In this paper, the steady-state performance of the distributed least mean-squares (dLMS) algorithm within an incremental network is evaluated without the restriction of Gaussian distributed inputs. Computer simulations are presented to verify the derived p ...

IEEE2008