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Browsing by Subject "Markov processes"

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    • Article  

      Aliasing probability calculations for arbitrary compaction under independently selected random test vectors 

      Hadjicostis, Christoforos N. (2005)
      This paper discusses a systematic methodology for calculating the exact aliasing probability associated with schemes that use an arbitrary finite-state machine to compact the response of a combinational circuit to a sequence ...

    • Conference Object  

      Aliasing probability calculations in nonlinear compactors 

      Hadjicostis, Christoforos N. (2003)
      This paper discusses a systematic methodology for calculating the aliasing probability when an arbitrary finite-state machine is used to compact the response of a combinational circuit to a sequence of randomly generated ...

    • Article  

      Approximation of Markov Processes by Lower Dimensional Processes via Total Variation Metrics 

      Tzortzis, I.; Charalambous, Charalambos D.; Charalambous, T.; Hadjicostis, Christoforos N.; Johansson, M. (2017)
      The aim of this paper is to approximate a Finite-State Markov (FSM) process by another process defined on a lower dimensional state space, called the approximating process, with respect to a total variation distance fidelity ...

    • Article  

      Approximation of Markov Processes by Lower Dimensional Processes via Total Variation Metrics 

      Tzortzis, I.; Charalambous, C. D.; Charalambous, T.; Hadjicostis, Christoforos N.; Johansson, M. (2017)
      The aim of this paper is to approximate a Finite-State Markov (FSM) process by another process defined on a lower dimensional state space, called the approximating process, with respect to a total variation distance fidelity ...

    • Article  

      Bootstrap prediction intervals for Markov processes 

      Pan, L.; Politis, Dimitris Nicolas (2014)
      Given time series data X1,…,Xn, the problem of optimal prediction of Xn+1 has been well-studied. The same is not true, however, as regards the problem of constructing a prediction interval with prespecified coverage ...

    • Conference Object  

      Capacity of Binary State Symmetric Channel with and without feedback and transmission cost 

      Kourtellaris, C. K.; Charalambous, Charalambos D. (Institute of Electrical and Electronics Engineers Inc., 2015)
      We consider a unit memory channel, called Binary State Symmetric Channel (BSSC), in which the channel state is the modulo2 addition of the current channel input and the previous channel output. We derive closed form ...

    • Article  

      Conditional densities for continuous-time nonlinear hybrid systems with applications to fault detection 

      Hibey, Joseph L.; Charalambous, Charalambos D. (1998)
      Continuous-time nonlinear stochastic differential state and measurement equations, all of which have coefficients capable of abrupt changes at a random time, are considered; finite-state jump Markov chains are used to model ...

    • Article  

      Conditional densities for continuous-time nonlinear hybrid systems with applications to fault detection 

      Hibey, J. L.; Charalambous, Charalambos D. (1999)
      Continuous-time nonlinear stochastic differential state and measurement equations, all of which have coefficients capable of abrupt changes at a random time, are considered; finite-state jump Markov chains are used to model ...

    • Conference Object  

      Control of discrete-time partially-observed jump linear systems over causal communication systems 

      Denic, S. Z.; Charalambous, Charalambos D. (2006)
      We consider the problem of control of discrete-time partially-observed jump linear system over a noisy causal communication channel. Necessary conditions for observability and stabilizability in probability and r-th mean ...

    • Conference Object  

      Control of jump linear systems over jump communication channels - Source-channel matching approach 

      Donic, S. Z.; Charalambous, Charalambos D. (2007)
      The control of partially observed jump linear systems over jump communication channels is investigated when the Plant State Information (I*SI) and the Channel Slate Information (CSI) are present at the transmitter and the ...

    • Article  

      Current-state opacity formulations in probabilistic finite automata 

      Saboori, A.; Hadjicostis, Christoforos N. (2014)
      A system is said to be current-state opaque if the entrance of the system state to a set of secret states remains opaque (uncertain) to an intruder - at least until the system leaves the set of secret states. This notion ...

    • Conference Object  

      Detection of collaborative cyber-attacks through correlation and time dependency analysis 

      Thoma, M.; Hadjicostis, Christoforos N. (Institute of Electrical and Electronics Engineers Inc., 2016)
      In this paper, we consider the detection of suspiciously high correlation between malicious Internet users that are collaborating in order to cause a Denial of Service (DoS) Attack. The main goal is to recognise cyber ...

    • Doctoral Thesis  Open Access

      Detection of collaborative misbehaviour in distributed cyber-attacks through correlation and time dependency analysis 

      Thoma, Marios K. (Πανεπιστήμιο Κύπρου, Πολυτεχνική Σχολή / University of Cyprus, Faculty of Engineering, 2018-01)
      Σε αυτή τη διατριβή, εξετάζουμε τη μοντελοποίηση και την ανίχνευση ύποπτα υψηλού βαθμού συσχέτισης μεταξύ κακόβουλων χρηστών του διαδικτύου που συνεργάζονται για να προκαλέσουν Επίθεση ΄Αρνησης Εξυπηρέτησης [Denial of ...

    • Conference Object  

      Encoder, controller and decoder design of jump linear systems over jump communication channels 

      Ma, X.; Djouadi, S.; Charalambous, Charalambos D.; Denic, S. (2013)
      In this work, we focus on the encoder, decoder, and controller design for jump linear systems over jump communication channels.The plant state information (PSI) and the channel state information (CSI) are assumed to be ...

    • Doctoral Thesis  Open Access

      Extremum problems with total variation distance metric on the space of probability measures and applications 

      Τζωρτζής, Ιωάννης Α. (Πανεπιστήμιο Κύπρου, Πολυτεχνική Σχολή / University of Cyprus, Faculty of Engineering, 2015-03)
      Η βελτιστοποίηση προβλήματων με ακρότατα που χρησιμοποιούν ως μετρική απόστασης την ολική κύμανση στο χώρο των μέτρων πιθανοτήτων είναι θεμελιώδους σημασίας στον στοχαστικό έλεγχο, στη θεωρία πληροφορίας και της επικοινωνίας, ...

    • Conference Object  

      Hidden markov model classification based on empirical frequencies of observed symbols 

      Keroglou, C.; Hadjicostis, Christoforos N. (IFAC Secretariat, 2014)
      Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...

    • Article  

      Inference for Some Multivariate ARCH and GARCH Models 

      Vrontos, Ioannis D.; Dellaportas, Petros; Politis, Dimitris Nicolas (2003)
      Multivariate time-varying volatility models have attracted a lot of attention in modern finance theory. We provide an empirical study of some multivariate ARCH and GARCH models that already exist in the literature and have ...

    • 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 ...

    • Conference Object  

      Maximum likelihood diagnosis in partially observable finite state machines 

      Athanasopoulou, E.; Hadjicostis, Christoforos N. (2005)
      In this paper we develop a probabilistic approach for fault diagnosis in deterministic finite state machines (FSMs). The proposed approach determines whether the FSM under consideration is faulty or not by observing (part ...

    • Article  

      Maximum likelihood parameter estimation from incomplete data via the sensitivity equations: the continuous-time case 

      Charalambous, Charalambos D.; Logothetis, A. (2000)
      This paper is concerned with maximum likelihood (ML) parameter estimation of continuous-time nonlinear partially observed stochastic systems, via the expectation maximization (EM) algorithm. It is shown that the EM algorithm ...

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