Relevant bibliographies by topics / Hidden Markov Mode l

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Hidden Markov Mode l'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Hidden Markov Mode l"

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Zhang, Yin Hui, Zi Fen He, Yun Sheng Zhang, and Wu Xing. "Temporal Feature Characterization via Dynamic Hidden Markov Tree." Applied Mechanics and Materials 128-129 (October 2011): 1085–88. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1085.

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We present a novel multiscale dynamic methodology for automatic machine vision inspection aiming at characterizing temporal features of tobacco leaves. The image sequences of tobacco leaves are transformed from RGB color space to L*a*b* color space, which provides a uniform perceptual difference measure. The image sequences are then represented by a multiscale Dynamic Hidden Markov tree (DHMT), which models not only inter and intra scale dependences of wavelet coefficients, but also temporal dependences of foreground/background observational properties. Experimental results demonstrate tempora
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QU, HONGCHUN, QINGSHENG ZHU, MINGWEI GUO, and ZHONGHUA LU. "AN INTELLIGENT LEARNING APPROACH TO L-GRAMMAR EXTRACTION FROM IMAGE SEQUENCES OF REAL PLANTS." International Journal on Artificial Intelligence Tools 18, no. 06 (2009): 905–27. http://dx.doi.org/10.1142/s0218213009000457.

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In this paper, we propose an automatic analyzing and transforming approach to L-system grammar extraction from real plants. Instead of using manually designed rules and cumbersome parameters, our method establishes the relationship between L-system grammars and the iterative trend of botanical entities, which reflect the endogenous factors that caused the plant branching process. To realize this goal, we use a digital camera to take multiple images of unfoliaged (leafless) plants and capture the topological and geometrical data of plant entities using image processing methods. The data then st
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Lukashev, Alexander N. "Evidence for recombination in Crimean-Congo hemorrhagic fever virus." Journal of General Virology 86, no. 8 (2005): 2333–38. http://dx.doi.org/10.1099/vir.0.80974-0.

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Crimean-Congo hemorrhagic fever (CCHF) virus has attracted considerable attention recently and a number of phylogenetic studies have been published, based mostly on partial sequences of S and M RNA segments. In this study, available full-length S, M and L segment sequences of CCHF virus were checked for recombination. Similarity plots and bootscan analysis of the S segment suggested multiple recombination events between southern European, Asian and African CCHF virus strains, with additional evidence provided by phylogenetic trees, the hidden Markov model and probabilistic divergence measures
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Wang, Wentao, Xuan Ke, and Lingxia Wang. "A HMM-R Approach to Detect L-DDoS Attack Adaptively on SDN Controller." Future Internet 10, no. 9 (2018): 83. http://dx.doi.org/10.3390/fi10090083.

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A data center network is vulnerable to suffer from concealed low-rate distributed denial of service (L-DDoS) attacks because its data flow has the characteristics of data flow delay, diversity, and synchronization. Several studies have proposed addressing the detection of L-DDoS attacks, most of them are only detect L-DDoS attacks at a fixed rate. These methods cause low true positive and high false positive in detecting multi-rate L-DDoS attacks. Software defined network (SDN) is a new network architecture that can centrally control the network. We use an SDN controller to collect and analyze
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Gregoir, St�phane, and Fabrice Lenglart. "Measuring the probability of a business cycle turning point by using a multivariate qualitative hidden Markov model." Journal of Forecasting 19, no. 2 (2000): 81–102. http://dx.doi.org/10.1002/(sici)1099-131x(200003)19:2<81::aid-for734>3.0.co;2-l.

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Neupane, Surendra, Sarah Schweitzer, Achal Neupane, et al. "Identification and Characterization of Mitogen-Activated Protein Kinase (MAPK) Genes in Sunflower (Helianthus annuus L.)." Plants 8, no. 2 (2019): 28. http://dx.doi.org/10.3390/plants8020028.

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Mitogen-Activated Protein Kinase (MAPK) genes encode proteins that regulate biotic and abiotic stresses in plants through signaling cascades comprised of three major subfamilies: MAP Kinase (MPK), MAPK Kinase (MKK), and MAPKK Kinase (MKKK). The main objectives of this research were to conduct genome-wide identification of MAPK genes in Helianthus annuus and examine functional divergence of these genes in relation to those in nine other plant species (Amborella trichopoda, Aquilegia coerulea, Arabidopsis thaliana, Daucus carota, Glycine max, Oryza sativa, Solanum lycopersicum, Sphagnum fallax,
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Neupane, Surendra, Ethan J. Andersen, Achal Neupane, and Madhav P. Nepal. "Genome-Wide Identification of NBS-Encoding Resistance Genes in Sunflower (Helianthus annuus L.)." Genes 9, no. 8 (2018): 384. http://dx.doi.org/10.3390/genes9080384.

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Nucleotide Binding Site—Leucine-Rich Repeat (NBS-LRR) genes encode disease resistance proteins involved in plants’ defense against their pathogens. Although sunflower is affected by many diseases, only a few molecular details have been uncovered regarding pathogenesis and resistance mechanisms. Recent availability of sunflower whole genome sequences in publicly accessible databases allowed us to accomplish a genome-wide identification of Toll-interleukin-1 receptor-like Nucleotide-binding site Leucine-rich repeat (TNL), Coiled Coil (CC)-NBS-LRR (CNL), Resistance to powdery mildew 8 (RPW8)-NBS-
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Costes, Evelyne, Colin Smith, Michael Renton, Yann Guédon, Przemyslaw Prusinkiewicz, and Christophe Godin. "MAppleT: simulation of apple tree development using mixed stochastic and biomechanical models." Functional Plant Biology 35, no. 10 (2008): 936. http://dx.doi.org/10.1071/fp08081.

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Construction of tree architectural databases over years is time consuming and cannot easily capture event dynamics, especially when both tree topology and geometry are considered. The present project aimed to bring together models of topology and geometry in a single simulation such that the architecture of an apple tree may emerge from process interactions. This integration was performed using L-systems. A mixed approach was developed based on stochastic models to simulate plant topology and mechanistic model for the geometry. The succession of growth units (GUs) along axes and their branchin
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Huang, Jun, Wei Sun, Jiaxin Ren, et al. "Genome-Wide Identification and Characterization of Actin-Depolymerizing Factor (ADF) Family Genes and Expression Analysis of Responses to Various Stresses in Zea Mays L." International Journal of Molecular Sciences 21, no. 5 (2020): 1751. http://dx.doi.org/10.3390/ijms21051751.

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Actin-depolymerizing factor (ADF) is a small class of actin-binding proteins that regulates the dynamics of actin in cells. Moreover, it is well known that the plant ADF family plays key roles in growth, development and defense-related functions. Results: Thirteen maize (Zea mays L., ZmADFs) ADF genes were identified using Hidden Markov Model. Phylogenetic analysis indicated that the 36 identified ADF genes in Physcomitrella patens, Arabidopsis thaliana, Oryza sativa japonica, and Zea mays were clustered into five groups. Four pairs of segmental genes were found in the maize ADF gene family. T
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Kazmierczak, Mark J., Sharon C. Mithoe, Kathryn J. Boor та Martin Wiedmann. "Listeria monocytogenes σB Regulates Stress Response and Virulence Functions". Journal of Bacteriology 185, № 19 (2003): 5722–34. http://dx.doi.org/10.1128/jb.185.19.5722-5734.2003.

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ABSTRACT While the stress-responsive alternative sigma factor σB has been identified in different species of Bacillus, Listeria, and Staphylococcus, theσ B regulon has been extensively characterized only in B. subtilis. We combined biocomputing and microarray-based strategies to identify σB-dependent genes in the facultative intracellular pathogen Listeria monocytogenes. Hidden Markov model (HMM)-based searches identified 170 candidateσ B-dependent promoter sequences in the strain EGD-e genome sequence. These data were used to develop a specialized, 208-gene microarray, which included 166 gene
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Dissertations / Theses on the topic "Hidden Markov Mode l"

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Huang, Tzu-Kuo. "Exploiting Non-Sequence Data in Dynamic Model Learning." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/561.

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Virtually all methods of learning dynamic models from data start from the same basic assumption: that the learning algorithm will be provided with a single or multiple sequences of data generated from the dynamic model. However, in quite a few modern time series modeling tasks, the collection of reliable time series data turns out to be a major challenge, due to either slow progression of the dynamic process of interest, or inaccessibility of repetitive measurements of the same dynamic process over time. In most of those situations, however, we observe that it is easier to collect a large amou
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Benedetti, Manuel. "Un algoritmo di geolocalizzazione indoor basato su magnetismo." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13276/.

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Negli ultimi anni, il problema della localizzazione indoor tramite dispositivi mobili è stato oggetto di numerose ricerche volte a sperimentare l'impiego di tecnologie diverse e a identificare vantaggi e svantaggi di ciascuna di esse. Nell'ambito di questa tesi, si approfondisce una tecnica di fingerprinting basata su magnetismo che presenta l'importante vantaggio di non necessitare di alcuna infrastruttura di supporto. Viene sviluppata un'applicazione Android che implementa una tecnica di pattern matching frutto di contributi originali, applicando al caso del magnetismo alcune soluzioni softw
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Avila, Manuel. "Optimisation de modèles markoviens pour la reconnaissance de l'écrit." Rouen, 1996. http://www.theses.fr/1996ROUES034.

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Cette thèse traite de l'optimisation de modèles markoviens dédiés à la reconnaissance de textes manuscrits, dans le cas particulier d'une application à vocabulaire réduit : la lecture des montants littéraux de chèques. Le premier chapitre décrit brièvement les techniques utilisées pour la reconnaissance de l'écrit. Nous présentons également les descriptions des mots que nous avons utilisées. Le second chapitre présente les modèles de Markov cache. Nous présentons notamment les différents niveaux de représentation du problème de la lecture de l'écrit dans le cas de modélisations markoviennes :
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Hadrich, Ben Arab Atizez. "Étude des fonctions B-splines pour la fusion d'images segmentées par approche bayésienne." Thesis, Littoral, 2015. http://www.theses.fr/2015DUNK0385/document.

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Dans cette thèse nous avons traité le problème de l'estimation non paramétrique des lois de probabilités. Dans un premier temps, nous avons supposé que la densité inconnue f a été approchée par un mélange de base B-spline quadratique. Puis, nous avons proposé un nouvel estimateur de la densité inconnue f basé sur les fonctions B-splines quadratiques, avec deux méthodes d'estimation. La première est base sur la méthode du maximum de vraisemblance et la deuxième est basée sur la méthode d'estimation Bayésienne MAP. Ensuite, nous avons généralisé notre étude d'estimation dans le cadre du mélange
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Langrock, Roland [Verfasser], Walter [Akademischer Betreuer] Zucchini, Iain L. [Akademischer Betreuer] Macdonald, and Tatyana [Akademischer Betreuer] Krivobokova. "On some special-purpose hidden Markov models / Roland Langrock. Gutachter: Walter Zucchini ; Iain L. MacDonald ; Tatyana Krivobokova. Betreuer: Walter Zucchini." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2011. http://d-nb.info/1043666923/34.

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Pavllo, Dario. "Riconoscimento real-time di gesture tramite tecniche di machine learning." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10999/.

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Il riconoscimento delle gesture è un tema di ricerca che sta acquisendo sempre più popolarità, specialmente negli ultimi anni, grazie ai progressi tecnologici dei dispositivi embedded e dei sensori. Lo scopo di questa tesi è quello di utilizzare alcune tecniche di machine learning per realizzare un sistema in grado di riconoscere e classificare in tempo reale i gesti delle mani, a partire dai segnali mioelettrici (EMG) prodotti dai muscoli. Inoltre, per consentire il riconoscimento di movimenti spaziali complessi, verranno elaborati anche segnali di tipo inerziale, provenienti da una Inertial
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Haykal, Vanessa. "Modélisation des séries temporelles par apprentissage profond." Thesis, Tours, 2019. http://www.theses.fr/2019TOUR4019.

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La prévision des séries temporelles est un problème qui est traité depuis de nombreuses années. Dans cette thèse, on s’est intéressé aux méthodes issues de l’apprentissage profond. Il est bien connu que si les relations entre les données sont temporelles, il est difficile de les analyser et de les prévoir avec précision en raison des tendances non linéaires et du bruit présent, spécifiquement pour les séries financières et électriques. A partir de ce contexte, nous proposons une nouvelle architecture de réduction de bruit qui modélise des séries d’erreurs récursives pour améliorer les prévisions.
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Dupraz, Elsa. "Codage de sources avec information adjacente et connaissance incertaine des corrélations." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00955100.

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Dans cette thèse, nous nous sommes intéressés au problème de codage de sources avec information adjacente au décodeur seulement. Plus précisément, nous avons considéré le cas où la distribution jointe entre la source et l'information adjacente n'est pas bien connue. Dans ce contexte, pour un problème de codage sans pertes, nous avons d'abord effectué une analyse de performance à l'aide d'outils de la théorie de l'information. Nous avons ensuite proposé un schéma de codage pratique efficace malgré le manque de connaissance sur la distribution de probabilité jointe. Ce schéma de codage s'appuie
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Christopher, Tay. "Analyses des scènes dynamiques: Application à l´assistance à la conduite." Phd thesis, 2009. http://tel.archives-ouvertes.fr/tel-00530679.

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Le développement des véhicules autonomes a reçu une attention croissant ces dernières années, notamment les secteurs de la défense et de l'industrie automobile. L'intérêt pour l'industrie automobile est motivé par la conception de véhicules sûrs et confortables. Une raison commune derrière la plupart des accidents de la circulation est due au manque de vigilance du conducteur sur la route. Cette thèse se trouve dans le problématique de l'estimation des risques de collision pour un véhicule dans les secondes qui suivent en condition de circulation urbaines. Les systèmes actuellement disponibles
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Books on the topic "Hidden Markov Mode l"

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Gilmore, Sir Ian, and William Gilmore. Alcohol. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0339.

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Alcohol has been used for thousands of years and, indeed, in very different ways. Two thousand years ago, the occupying Romans sipped wine regularly but reasonably moderately, and marvelled at the local English serfs who celebrated bringing in their crops with brief episodes of unrivalled drunkenness. The use of alcohol was not only tolerated but sometimes encouraged by the ruling classes as a way of subjugating the population and dulling their awareness of the conditions in which they had to live and work. The adverse impact of gin consumption was famously recorded by Hogarth’s painting of ‘G
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Book chapters on the topic "Hidden Markov Mode l"

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Hadoux, Emmanuel, Aurélie Beynier, and Paul Weng. "Solving Hidden-Semi-Markov-Mode Markov Decision Problems." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11508-5_15.

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Choi, Samuel P. M., Dit-Yan Yeung, and Nevin L. Zhang. "Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making." In Sequence Learning. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44565-x_12.

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"Chapter 7: Delay Coordinates, ERA, and Hidden Markov Models." In Dynamic Mode Decomposition. Society for Industrial and Applied Mathematics, 2016. http://dx.doi.org/10.1137/1.9781611974508.ch7.

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Fisher, Thomas, and Joel Hodroff. "From Money-Centered to People- and Planet-Centered Ledger Economics: Leveraging the Hidden Wealth of Underutilized Productive Capacity." In Investment Strategies in Emerging New Trends in Finance. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95562.

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This chapter introduces a for-profit way to repair persistent problems in free enterprise economics and commerce. Today, continuous advances in technology and human capabilities fail to produce a commensurate, across-the-board rise in the standard of living and quality of life for households and communities. Instead, win-lose competition over money and proliferation of competitive duplication put downward pressure on profits, wages and the purchasing power of families. Despite an ever-growing economic pie, everyone does not enjoy a secure income. This is a money issue, not a productivity issue. Eventually, so-called equilibrium is achieved when businesses downsize, merge and/or fail. But businesses fail while there are still unmet needs for their products and services revealing a missed business opportunity. An innovative alternative is to monetize and market currently underutilized productive capacity using a new form of business scrip termed Ledger Dollars (L$) L$ increase purchasing power within a cooperative network of business and community stakeholders. L$ are analogous to loyalty rewards—backed by unsold products and services—but reward more than consumer spending and enhance cooperation and eco-sustainability. Ledger Dollars constitute a new financial asset class designed to improve traditional fiat-centered economics and advance the now popular Triple-Bottom-Line of People, Planet and Profits.
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Conference papers on the topic "Hidden Markov Mode l"

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Geigle, Chase, and ChengXiang Zhai. "Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models." In L@S 2017: Fourth (2017) ACM Conference on Learning @ Scale. ACM, 2017. http://dx.doi.org/10.1145/3051457.3053986.

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Sandoval, Steven, Matthew Bredin, and Phillip L. De Leon. "Dominant Component Tracking for Empirical Mode Decomposition using A Hidden Markov Model." In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2018. http://dx.doi.org/10.1109/globalsip.2018.8646708.

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Neogi, Natasha A., and Asal Naseri. "Using Hidden Markov Models to Detect Mode Changes in Aircraft Flight Data for Conflict Resolution." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.384710.

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Bin Wu, Changjian Feng, and Minjie Wang. "A Fault Diagnosis Method of Rolling Bearings Using Empirical Mode Decomposition and Hidden Markov Model." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1714166.

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Wang, Dong, Qiang Miao, Rui Sun, and Hong-Zhong Huang. "Bearing Fault Diagnosis Using Singular Value Decomposition and Hidden Markov Modeling." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86471.

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Condition monitoring and fault diagnosis of bearings are of practical significance in industry. In order to get a feature containing different fault signatures, this paper uses Wavelet Transform (WT), Wavelet Lifting Scheme (WLS) and Empirical Mode Decomposition (EMD), respectively, to decompose signal into different frequency bands. Then, Singular Value Decomposition (SVD) is utilized to extract intrinsic characteristic of signal from obtained matrix. These singular value vectors are regarded as inputs to Hidden Markov Models (HMM) for identification of machinery health condition. In this res
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De Paula Carvalho, Leonardo, André Marcorin de Oliveira, and Oswaldo Luiz Do Valle. "Asynchronous Fault Detection H2 Filter For Markov Jump Linear Systems." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1021.

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This work focuses on the Fault Detection (FD) problem in the Markovian Jump Linear System framework for the discrete-time domain, under the assumption that the Markov chain mode is not directly accessible. This assumption poses new challenges, since the filter responsible for the residue generation no longer depends on the Markov chain mode. For modeling this type of situation, a Hidden Markov chain (O(k), Ô(k)) is considered, with O(k) corresponding to the hidden part and Ô(k), to the observable part. The main result is the design of an H2 Fault Detection Filter (FDF) that depends only on the
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