• Article  

      An Algorithm for Global Maximization of Secrecy Rates in Gaussian MIMO Wiretap Channels 

      Loyka, S.; Charalambous, Charalambos D. (2015)
      Optimal signaling for secrecy rate maximization in Gaussian MIMO wiretap channels is considered. While this channel has attracted a significant attention recently and a number of results have been obtained, including the ...
    • Conference Object  

      Application of artificial neural networks in the prediction of earnings 

      Falas, Tasos; Charitou, Andreas; Charalambous, Chris (IEEE, 1994)
      The feasibility of using artificial neural networks (ANNs) for predicting future earnings by stock market and capital market investors was evaluated. A multilayer perceptron feedforward neural network architecture with an ...
    • Conference Object  

      Control of distributed energy resources for reactive power support 

      Robbins, B. A.; Domínguez-Garcia, A. D.; Hadjicostis, Christoforos N. (2011)
      This paper proposes a method to utilize distributed energy resources (DERs) to provide reactive power support for voltage control in electric power systems. Rather than controlling each of these resources directly, a ...
    • Conference Object  

      Convergence of belief propagation algorithms on binary pairwise Gibbs random fields 

      Le, T.; Hadjicostis, Christoforos N. (2011)
      In this paper, we study the convergence of belief propagation algorithms (BPAs) on binary pairwise Gibbs random fields (BP-GRFs). Exploiting the equivalence of BPA on the graph associated with BP-GRF and the corresponding ...
    • Conference Object  

      Decentralized optimal dispatch of distributed energy resources 

      Domínguez-Garcia, A. D.; Cady, S. T.; Hadjicostis, Christoforos N. (2012)
      In this paper, we address the problem of optimally dispatching a set of distributed energy resources (DERs) without relying on a centralized decision maker. We consider a scenario where each DER can provide a certain ...
    • Conference Object  

      Development of an efficient two-phase 3D numerical wave flume 

      Frantzis, C.; Grigoriadis, D. G. E. (Society of Petroleum Engineers, 2017)
      In the present study an efficient two-phase 3D numerical wave flume was developed, tested and validated. The most important advantage over conventional numerical wave flumes is the use of a constant coefficient Poisson ...
    • Article  

      Distributed Balancing of Commodity Networks Under Flow Interval Constraints 

      Hadjicostis, Christoforos N.; Domínguez-Garcia, A. D. (2018)
      We consider networks the nodes of which are interconnected via directed edges, each able to admit a flow (or weight) within a certain interval, with nonnegative end points that correspond to lower and upper flow limits. ...
    • Conference Object  

      Distributed balancing under interval flow constraints in directed communication topologies 

      Hadjicostis, Christoforos N.; Domínguez-Garcia, A. D. (Institute of Electrical and Electronics Engineers Inc., 2018)
      In this paper, we propose a distributed algorithm that relies on a strongly connected (but possibly directed) communication topology to achieve admissible and balanced flows in a given network. More specifically, we consider ...
    • Conference Object  

      Distributed consensus and linear functional calculation in networks: An observability perspective 

      Sundaram, S.; Hadjicostis, Christoforos N. (2007)
      We study the problem of performing sensor fusion and distributed consensus in networks, where the objective is to calculate some linear function of the initial sensor values at some or all of the sensors. We utilize a ...
    • Article  

      Distributed cycle detection and removal 

      Oliva, G.; Setola, R.; Glielmo, L.; Hadjicostis, Christoforos N. (2018)
      In this paper, we provide distributed algorithms to detect and remove cycles in a directed relational graph by exploiting the underlying undirected communication graph; the relational graph models a relation among the ...
    • Conference Object  

      Distributed formation of balanced and bistochastic weighted digraphs in multi-agent systems 

      Charalambous, T.; Hadjicostis, Christoforos N. (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 ...
    • Article  

      A distributed generation control architecture for islanded ac microgrids 

      Cady, S. T.; Domínguez-Garcia, A. D.; Hadjicostis, Christoforos N. (2015)
      In this paper, we propose a distributed architecture for generation control in islanded ac microgrids with both synchronous generators and inverter-interfaced power supplies. Although they are smaller and have lower ratings, ...
    • Article  

      Distributed matrix scaling and application to average consensus in directed graphs 

      Domínguez-Garcia, A. D.; Hadjicostis, Christoforos N. (2013)
      We propose a class of distributed iterative algorithms that enable the asymptotic scaling of a primitive column stochastic matrix, with a given sparsity structure, to a doubly stochastic form. We also demonstrate the ...
    • Article  

      Distributed resource coordination in networked systems described by digraphs 

      Domínguez-Garcia, A. D.; Hadjicostis, Christoforos N. (2015)
      We consider a multicomponent system in which each component can receive/transmit information from/to components in its immediate neighborhood. Communication links between components are not required to be bidirectional, ...
    • Conference Object  

      Distributed stochastic power control for time-varying long-term and short-term fading wireless networks 

      Olama, M. M.; Djouadi, S. M.; Charalambous, Charalambos D.; Sahyoun, S. (2007)
      In this paper, new time-varying wireless channel models that capture both the space and time variations of longterm and short-term fading wireless networks are developed. The proposed models are based on stochastic ...
    • Conference Object  

      Distributed stopping for average consensus in directed graphs via a randomized event-triggered strategy 

      Manitara, N. E.; Hadjicostis, Christoforos N. (IEEE Computer Society, 2014)
      We consider how an iterative strategy for asymptotic average consensus in a directed graph (digraph) can be adapted so that the nodes can determine, in a distributed manner, a stopping criterion that allows them to terminate ...
    • Article  

      Distributed stopping for average consensus in undirected graphs via event-triggered strategies 

      Manitara, N. E.; Hadjicostis, Christoforos N. (2016)
      We develop and analyze two distributed event-triggered linear iterative algorithms that enable the components of a distributed system, each with some initial value, to reach approximate average consensus on their initial ...
    • Conference Object  

      Distributed weight balancing under integer constraints in the presence of packet drops 

      Rikos, A. I.; Hadjicostis, Christoforos N. (Institute of Electrical and Electronics Engineers Inc., 2018)
      A digraph with positive integer weights on its (directed) edges is weight-balanced if, for each node, the sum of the weights of the incoming edges equals the sum of the weights of the outgoing edges. We develop a distributed ...
    • Article  

      Dynamic programming subject to total variation distance ambiguity 

      Tzortzis, I.; Charalambous, Charalambos D.; Charalambous, T. (2015)
      The aim of this paper is to address optimality of stochastic control strategies via dynamic programming subject to total variation distance ambiguity on the conditional distribution of the controlled process. We formulate ...
    • Conference Object  

      Effects of periodic gravity modulation in microgravity convection systems 

      Cyr, Martha N.; Alexandrou, Andreas N.; Olinger, D. J. (Publ by ASME, 1993)
      Natural convection in an enclosure that is subjected to periodic excitations is investigated using a classical mixed Galerkin finite element method. The modulation is incorporated in the momentum equations, through a ...