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Fuzzy hidden semi Markov chain with observation dependent states
Life Cycle Reliability and Safety Engineering, 2017This paper presents a mathematical model by incorporating the observation dependent property to the states of hidden semi Markov chain and then generalizing it in fuzzy space. In classical hidden semi Markov chain the states are not affected by observations.
R. Sujatha, V. Sharmila, S. Narasimman
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Computational methods for discrete hidden semi‐Markov chains
Applied Stochastic Models in Business and Industry, 1999Hidden Markov chains emerged in the 1970s in engineering and have since become a major tool for both pattern recognition applications such as speech or handwriting recognition or biological sequence analysis. Semi-Markov processes (or Markov renewal processes) have been applied for a long time in such diverse fields as biostatistics, operations ...
Y. Guédon
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Filtering hidden semi-Markov chains
Statistics & Probability Letters, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elliott, R., Limnios, N., Swishchuk, A.
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Non-Stationary Data Segmentation with Hidden Evidential Semi-Markov Chains
International Journal of Approximate Reasoning, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernandes, Clément +1 more
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The Construction and Estimation of Hidden Semi-Markov Models
Journal of Stochastic Analysis, 2022. In this article we construct new formulae and algorithms for Hidden semi-Markov models using Regime Switching Models. We shall include the steps and all necessary lemmas. The formulation of the semi-Markov chain generalizes the one used by Ferguson, by
Kurdstan Abdullah, John van der Hoek
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Observed-Mode-Dependent State Estimation of Hidden Semi-Markov Jump Linear Systems
IEEE Transactions on Automatic Control, 2020This paper is concerned with state estimation for a class of hidden semi-Markov jump linear systems governed by a two-layer stochastic process in the discrete-time context.
B. Cai, Lixian Zhang, Yang Shi
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Control Synthesis of Hidden Semi-Markov Uncertain Fuzzy Systems via Observations of Hidden Modes
IEEE Transactions on Cybernetics, 2020This paper investigates the stability analysis and fuzzy control problems for a class of discrete-time fuzzy systems with hidden semi-Markov stochastic uncertainties.
B. Cai, Lixian Zhang, Yang Shi
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Unsupervised segmentation of new semi-Markov chains hidden with long dependence noise
Signal Processing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lapuyade-Lahorgue, Jérôme +1 more
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Optimal Bayesian early fault detection for CNC equipment using hidden semi-Markov process
Mechanical systems and signal processing, 2019The goal of a computer numerically controlled (CNC) equipment is to guarantee high specified performance and to maintain it effectively over its life cycle time. Thus, the assessment of health condition is crucial for industrial systems.
Chaoqun Duan, V. Makis, C. Deng
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USING HIDDEN SEMI-MARKOV CHAINS TO COMPARE THE SHOOT STRUCTURE OF THREE DIFFERENT ALMOND CULTIVARS
Acta Horticulturae, 2015Shoot structure, resulting from lateral branching and flowering patterns, determines final tree form, fruit bearing habit, and cropping potential. The genetic make-up of different cultivars controls vegetative and reproductive growth, but few structural studies have been done to systematically describe almond shoot structure.
Negron, C. +6 more
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