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Distributed stopping in average consensus via event-triggered strategies
(IEEE Computer Society, 2013)
We develop and analyze a distributed event-triggered linear iterative algorithm that enables the components of a distributed system, each with some initial value, to reach approximate average consensus on their initial ...
Estimation and identification of time-varying long-term fading channels via the particle filter and the em algorithm
(2011)
In this paper, we are concerned with the estimation and identification of time-varying wireless longterm fading channels. The dynamics of the fading channels are captured using a mean-reverting linear stochastic differential ...
Finite-time approximate consensus and its application to distributed frequency regulation in islanded AC microgrids
(IEEE Computer Society, 2015)
In this paper, we propose an iterative algorithm that allows a set of interconnected nodes to reach approximate consensus in a finite number of steps, i.e., Allows the nodes to reach agreement to within a pre-specified ...
Exact filters for Newton-Raphson parameter estimation algorithms for continuous-time partially observed stochastic systems
(IEEE, 1999)
This paper presents explicit finite-dimensional filters for implementing Newton-Raphson (NR) parameter estimation algorithms. The models which exhibit nonlinear parameter dependence are stochastic, continuous-time and ...
Lossless coding with generalized criteria
(2011)
This paper presents prefix codes which minimize various criteria constructed as a convex combination of maximum codeword length and average codeword length, or, a convex combination of the average of an exponential function ...
Distributed algorithms for control of demand response and distributed energy resources
(2011)
This paper proposes distributed algorithms for control and coordination of loads and distributed energy resources (DERs) in distribution networks. These algorithms are relevant for load curtailment control in demand response ...
Maximum Likelihood parameter estimation from incomplete data via the sensitivity equations: The continuous-time case
(IEEE, 1999)
The problem of estimating the parameters for continuous-time partially observed systems is discussed. New exact filters for obtaining Maximum Likelihood (ML) parameter estimates via the Expectation Maximization algorithm ...
Distributed formation of balanced and bistochastic weighted digraphs in multi-agent systems
(2013)
We propose two distributed algorithms, one for solving the weight-balance problem and another for solving the bistochastic matrix formation problem, in a distributed system whose components (nodes) can exchange information ...
Decentralised minimum-time average consensus in digraphs
(Institute of Electrical and Electronics Engineers Inc., 2013)
Distributed algorithms for average consensus in directed graphs are typically asymptotic in the literature. In this work, we propose a protocol to distributively reach average consensus in a finite number of steps on ...
Conditional moment generating functions for integrals and stochastic integrals
(IEEE, 1997)
In this paper we present two methods for computing filtered estimates for moments of integrals and stochastic integrals of continuous-time nonlinear systems. The first method utilizes recursive stochastic partial differential ...