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IEEE Transactions on Automation Science and Engineering
This study addresses the problem of sliding mode control (SMC) for networked non-homogeneous hidden semi-Markov switching systems under semi-Markov kernel and cyber attacks, in which the limited dwell time information is related to the probability ...
Wenhai Qi +4 more
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This study addresses the problem of sliding mode control (SMC) for networked non-homogeneous hidden semi-Markov switching systems under semi-Markov kernel and cyber attacks, in which the limited dwell time information is related to the probability ...
Wenhai Qi +4 more
semanticscholar +1 more source
Observer‐Based Bumpless Transfer Control for Discrete‐Time Hidden Semi‐Markov Jump Systems
International Journal of Robust and Nonlinear ControlThis paper focuses on the observer‐based bumpless transfer control for discrete‐time hidden semi‐Markov jump systems. Since it is challenging to acquire the actual modal characteristics of the system in the practical environment, a hidden semi‐Markov ...
Qian Sun +3 more
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A fast algorithm for short term electric load forecasting by a hidden semi-markov process
Journal of Statistical Computation and Simulation, 2019The paper proposes an alternative algorithm to implement the current manual choosing mechanism of energy companies whose dedicated department has a library of electric load models and one best model is chosen manually everyday for daily forecast.
Qihong Duan, Junrong Liu, Dengfu Zhao
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Journal of Nonparametric Statistics, 2015
In this paper, we focus on a fundamental reliability measure, the discrete-time intensity of the hitting time (DTIHT), which is the discrete analogue of the rate of occurrence of failures. The problem of evaluating and estimating the DTIHT is addressed for the first time for semi-Markov chains. First, a simple formula for the evaluation of the DTIHT is
I. Votsi, N. Limnios
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In this paper, we focus on a fundamental reliability measure, the discrete-time intensity of the hitting time (DTIHT), which is the discrete analogue of the rate of occurrence of failures. The problem of evaluating and estimating the DTIHT is addressed for the first time for semi-Markov chains. First, a simple formula for the evaluation of the DTIHT is
I. Votsi, N. Limnios
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Non-Fragile H∞ Control for Piecewise Homogeneous Hidden Semi-Markov Lur’e Systems
IEEE Transactions on Circuits and Systems - II - Express BriefsIn this brief the non-fragile asynchronous control problem is investigated for discrete-time non-homogeneous hidden semi-Markov Lur’e systems subjected to incapability obtained system mode and gain uncertainty, in which each subsystem is composed of mode-
Hao Shen +3 more
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Recent Advances in Stochastic Modeling and Data Analysis, 2007
The hidden Markov chain (HMC) model is a couple of random sequences ( X , Y ) , in which X is an unobservable Markov chain, and Y is its observable noisy version. Classically, the distribution p(ylx) is simple enough to ensure the Markovianity of p(xly) , that enables one to use different Bayesian restoration techniques.
Jérôme Lapuyade-Lahorgue +1 more
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The hidden Markov chain (HMC) model is a couple of random sequences ( X , Y ) , in which X is an unobservable Markov chain, and Y is its observable noisy version. Classically, the distribution p(ylx) is simple enough to ensure the Markovianity of p(xly) , that enables one to use different Bayesian restoration techniques.
Jérôme Lapuyade-Lahorgue +1 more
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Journal of the Royal Statistical Society Series C: Applied Statistics
This paper introduces a concomitant-variable hidden semi-Markov model tailored to analyse marine count data in the Venice lagoon. Our model targets acqua alta events, i.e.
Lorena Ricciotti +3 more
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This paper introduces a concomitant-variable hidden semi-Markov model tailored to analyse marine count data in the Venice lagoon. Our model targets acqua alta events, i.e.
Lorena Ricciotti +3 more
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2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, 2009
A model of branching structures of apple trees (Malus domestica cv. Fuji) in an intensive orchard for different levels of heading intensities is presented. The model, based on a statistical analysis, essentially simulates the numbers and distributions of the axillary production along one-year-old parent branches using the Hidden Semi-Markov Chain (HSMC)
Ning Xia +5 more
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A model of branching structures of apple trees (Malus domestica cv. Fuji) in an intensive orchard for different levels of heading intensities is presented. The model, based on a statistical analysis, essentially simulates the numbers and distributions of the axillary production along one-year-old parent branches using the Hidden Semi-Markov Chain (HSMC)
Ning Xia +5 more
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Reliability modeling with hidden Markov and semi-Markov chains
2013 IEEE Integration of Stochastic Energy in Power Systems Workshop (ISEPS), 2013Abstract form only given. Semi-Markov processes and Markov renewal processes represent a class of stochastic processes that generalize Markov and renewal processes. As it is well known, for a discrete-time (respectively continuous-time) Markov process, the sojourn time in each state is geometrically (respectively exponentially) distributed. In the semi-
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Exploring the state sequence space for hidden Markov and semi-Markov chains
Computational Statistics & Data Analysis, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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