Browsing by Subject "Stochastic systems"

Now showing items 21-40 of 56

    • Conference Object  

      General non-stationary models for short-term and long-term fading channels 

      Charalambous, Charalambos D.; Menemenlis, N. (Institute of Electrical and Electronics Engineers Inc., 2000)
      This paper discusses the use of stochastic differential equations to model signal envelope variations over large areas, which are subject to long-term fading effects from the transmitter to local areas, followed by short-term ...
    • Conference Object  

      Hierarchical decomposition of optimal control and information strategies in control-coding capacity of stochastic systems 

      Charalambous, Charalambos D.; Kourtellaris, C. K.; Tzortzis, I. (Institute of Electrical and Electronics Engineers Inc., 2018)
      The Control-Coding Capacity (CC Capacity) is defined as the maximum amount of information in bits/second, which can be encoded into randomized control strategies, transmitted over the control system, and decoded at its ...
    • Conference Object  

      Infinite horizon average cost dynamic programming subject to ambiguity on conditional distribution 

      Tzortzis, I.; Charalambous, Charalambos D.; Charalambous, T. (Institute of Electrical and Electronics Engineers Inc., 2015)
      This paper addresses the optimality of stochastic control strategies based on the infinite horizon average cost criterion, subject to total variation distance ambiguity on the conditional distribution of the controlled ...
    • Article  

      Information Structures for Feedback Capacity of Channels with Memory and Transmission Cost: Stochastic Optimal Control & Variational Equalities 

      Kourtellaris, C. K.; Charalambous, Charalambos D. (2017)
      The Finite Transmission Feedback Information (FTFI) capacity is characterized for any class of channel conditional distributions PBi|Bi-1, Ai and P Bi|Bi-1 i-M, Ai, where M is the memory of the channel, Bi ? {B-1, B0,..., ...
    • Conference Object  

      Information structures of capacity achieving distribution for channels with memory and feedback 

      Kourtellaris, C. K.; Charalambous, Charalambos D. (Institute of Electrical and Electronics Engineers Inc., 2016)
      The information structures of the optimal channel input distributions P[0,n] t {PAi|Ai-1,Bi-1 : i = 0,1.,n}, which correspond to the extremum problem of feedback capacity equation are identified, for any class of channel ...
    • Article  

      Information Transfer of Control Strategies: Dualities of Stochastic Optimal Control Theory and Feedback Capacity of Information Theory 

      Charalambous, Charalambos D.; Kourtellaris, C. K.; Tzortzis, I. (2017)
      The control-coding capacity of stochastic control systems is introduced, and its operational meaning is established using randomized control strategies, which simultaneously control output processes encode information, and ...
    • Conference Object  

      Initial state opacity in stochastic des 

      Keroglou, C.; Hadjicostis, Christoforos N. (2013)
      A non-deterministic finite automaton is initial-state opaque if the membership of its true initial state to a given set of secret states S remains opaque (i.e., uncertain) to an intruder who observes system activity through ...
    • Article  

      Investigating efficient methods for computing four-quark correlation functions 

      Abdel-Rehim, A.; Alexandrou, Constantia; Berlin, J.; Dalla Brida, M.; Finkenrath, J.; Wagner, M. (2017)
      We discuss and compare the efficiency of various methods, combinations of point-to-all propagators, stochastic timeslice-to-all propagators, the one-end trick and sequential propagators, to compute two-point correlation ...
    • Conference Object  

      Is robustness of stochastic uncertain systems related to information theory and statistical mechanics? 

      Charalambous, Charalambos D.; Kyprianou, Andreas (2005)
      Fifty years ago, when Claude Shannon was developing the Mathematical Theory of Communications, for reliable data transmission, which evolved into the subject of information theory, another discipline was developing dealing ...
    • Conference Object  

      Is robustness of stochastic uncertain systems related to information theory and statistical mechanics? 

      Charalambous, Charalambos D.; Kyprianou, Andreas (Affiliation: Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, CyprusAffiliation: Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, CyprusAffiliation: School of Information Technology and Engineering, University of Ottawa, 161 Louis Pasteur, A519, Ottawa, Ont. K1N 6N5, CanadaCorrespondence Address: Charalambous, C.D.Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprusemail: chadcha@ucy.ac.cy, 2005)
      Fifty years ago, when Claude Shannon was developing the Mathematical Theory of Communications, for reliable data transmission, which evolved into the subject of information theory, another discipline was developing dealing ...
    • Conference Object  

      Is robustness of stochastic uncertain systems related to information theory and statistical mechanics? 

      Charalambous, C. D.; Kyprianou, Andreas (Affiliation: Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, CyprusAffiliation: Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, CyprusAffiliation: School of Information Technology and Engineering, University of Ottawa, 161 Louis Pasteur, A519, Ottawa, Ont. K1N 6N5, CanadaCorrespondence Address: Charalambous, C.D.Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprusemail: chadcha@ucy.ac.cy, 2005)
      Fifty years ago, when Claude Shannon was developing the Mathematical Theory of Communications, for reliable data transmission, which evolved into the subject of information theory, another discipline was developing dealing ...
    • Article  

      LQG optimality and separation principle for general discrete time partially observed stochastic systems over finite capacity communication channels 

      Charalambous, Charalambos D.; Farhadi, A. (2008)
      This paper is concerned with control of stochastic systems subject to finite communication channel capacity. Necessary conditions for reconstruction and stability of system outputs are derived using the Information ...
    • Article  

      Measuring the impact of adversarial errors on packet scheduling strategies 

      Fernández Anta, A.; Georgiou, Chryssis; Kowalski, D. R.; Widmer, J.; Zavou, Elli (2016)
      In this paper, we explore the problem of achieving efficient packet transmission over unreliable links with worst-case occurrence of errors. In such a setup, even an omniscient offline scheduling strategy cannot achieve ...
    • Conference Object  

      Mechanics Science-Enabled Nanoheater Multi-Layer Materials Manufactured by Ball Milling 

      Farzanah, K. H. H.; Hassan, M. O. M.; Muhairi, R. A. S. Al; Rebholz, Claus; Gunduz, I. E.; Doumanidis, C. C. (Materials Research Society, 2017)
      This article reports investigation of the effects of high-rate stochastic micro-mechanics on the produced particulate size distribution during ball milling of reactive bimetallic foils (nanoheaters), by experimental and ...
    • Conference Object  

      On semi-markov modelling and inference for multi-state systems 

      Barbu, Vlad Stefan; Karagrigoriou, Alex; Makrides, Andreas (Institute of Electrical and Electronics Engineers Inc., 2016)
      In this work we focus on multi state systems that we model by means of semi-Markov processes. The sojourn times are seen to be independent not identically distributed random variables and assumed to belong to a general ...
    • Conference Object  

      Opacity formulations and verification in discrete event systems 

      Hadjicostis, Christoforos N.; Keroglou, C. (Institute of Electrical and Electronics Engineers Inc., 2014)
      In many emerging security applications, a property of a system, that may reveal important details about its behaviour, needs to be kept secret (opaque) to outside observers (intruders). Motivated by such applications, ...
    • Conference Object  

      Optimal stochastic control of discrete-time systems subject to total variation distance uncertainty 

      Charalambous, Charalambos D.; Rezaei, F.; Tzortzis, I. (2010)
      This paper presents another application of the results in [1], [2], where existence of the maximizing measure over the total variation distance constraint is established, while the maximizing pay-off is shown to be equivalent ...
    • Article  

      Random spectral measure for non Gaussian moving averages 

      Baxevani, Anastassia; Podgórski, K. (2017)
      We study the distribution of phases and amplitudes for the spectral representation of weighted moving averages of a general noise measure. The simple independent structure, known for the Gaussian case, and involving Rayleigh ...
    • Conference Object  

      A randomized, O(log w)-depth 2-smoothing network 

      Mavronicolas, Marios; Sauerwald, T. (2009)
      A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous propagation through the network. The maximum ...
    • Article  

      A review on the stochastic firing behaviour of real neurons and how it can be modelled 

      Christodoulou, Chris C.; Clarkson, T. (1995)
      The types of spike trains recorded in real neurons from different parts of the brain, can either be completely random or bursty. Certainly, at very, high firing rates regular spike trains are observed. This paper examines ...