Literatura científica selecionada sobre o tema "Filtre H1"
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Artigos de revistas sobre o assunto "Filtre H1"
Syrneva, Aleksandra S., Vladimir V. Chesnokov e Dimitry V. Chesnokov. "Research on Terahertz Filters Employing the Effect of Frustrated Total Internal Reflection". Key Engineering Materials 437 (maio de 2010): 281–85. http://dx.doi.org/10.4028/www.scientific.net/kem.437.281.
Texto completo da fonteCao, Huiliang, Yingjie Zhang, Chong Shen, Yu Liu e Xinwang Wang. "Temperature Energy Influence Compensation for MEMS Vibration Gyroscope Based on RBF NN-GA-KF Method". Shock and Vibration 2018 (2 de dezembro de 2018): 1–10. http://dx.doi.org/10.1155/2018/2830686.
Texto completo da fonteUribe-Murcia, Karen, e Yuriy S. Shmaliy. "UFIR Filtering Under Uncertain One-Step Delayed and Missing Data". WSEAS TRANSACTIONS ON SIGNAL PROCESSING 16 (19 de fevereiro de 2021): 191–96. http://dx.doi.org/10.37394/232014.2020.16.21.
Texto completo da fonteFu, Yu Long, Xiao Long Xin e Jun Tao Wang. "State maps on semihoops". Open Mathematics 16, n.º 1 (18 de setembro de 2018): 1061–76. http://dx.doi.org/10.1515/math-2018-0089.
Texto completo da fonteLópez Sarmiento, Danilo Alfonso, Octavio Jose Salcedo Parra e René Geovani González Caballero. "EVALUACIÓN DEL DESEMPEÑO DE FILTRO ADAPTADO PARA RADIO COGNITIVA". Redes de Ingeniería 4, n.º 2 (30 de dezembro de 2013): 16. http://dx.doi.org/10.14483/2248762x.5921.
Texto completo da fonteMarquez-Figueroa, Sandra, Yuriy S. Shmaliy e Oscar Ibarra-Manzano. "Improving Gaussianity of EMG Envelope for Myoelectric Robot Arm Control". WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 18 (5 de agosto de 2021): 106–12. http://dx.doi.org/10.37394/23208.2021.18.12.
Texto completo da fonteSmith, Vivianne C., Joel Pokorny, Barry B. Lee e Dennis M. Dacey. "Primate Horizontal Cell Dynamics: An Analysis of Sensitivity Regulation in the Outer Retina". Journal of Neurophysiology 85, n.º 2 (1 de fevereiro de 2001): 545–58. http://dx.doi.org/10.1152/jn.2001.85.2.545.
Texto completo da fonteLiu, Siru, Kensaku Kawamoto, Guilherme Del Fiol, Charlene Weir, Daniel C. Malone, Thomas J. Reese, Keaton Morgan, David ElHalta e Samir Abdelrahman. "The potential for leveraging machine learning to filter medication alerts". Journal of the American Medical Informatics Association 29, n.º 5 (5 de janeiro de 2022): 891–99. http://dx.doi.org/10.1093/jamia/ocab292.
Texto completo da fonteLiu, Hai, Maiying Zhong e Rui Yang. "Simultaneous Disturbance Compensation and H1/H∞ Optimization In Fault Detection Of UAVs". International Journal of Applied Mathematics and Computer Science 28, n.º 2 (1 de junho de 2018): 349–62. http://dx.doi.org/10.2478/amcs-2018-0026.
Texto completo da fonteAbotaleb, Mostafa, Janusz Mindykowski, Boleslaw Dudojć e Romuald Maśnicki. "Simulation of Foundation Fieldbus Manchester Coded 31.25 kbps H1 Bus Using MATLAB and Simulink". Scientific Journal of Gdynia Maritime University, n.º 123 (30 de setembro de 2022): 18–31. http://dx.doi.org/10.26408/123.02.
Texto completo da fonteTeses / dissertações sobre o assunto "Filtre H1"
Mohammedi, Irryhl. "Contribution à l’estimation robuste par intervalle des systèmes multivariables LTI et LPV : Application aux systèmes aérospatiaux". Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0142.
Texto completo da fonteThe work of this thesis aims at developing new approaches based on a new particular class of state estimators, the so-called interval or ensemble filters.Like the class of interval observers, the objective is to estimate, in a guaranteed way, the upper and lower bounds of the states of a system, at each time instant.The proposed approach is based on the theory of monotonic systems and on the knowledge of the domain of membership, supposedly bounded, of the uncertainties of the system, such as disturbances, noise and bias of sensors, etc.The key element of the proposed approach is to use a filter structure advantage, rather than an observer-based structure (relying only on a dynamic structure of the studied system).The synthesis of the filter parameters is based on the resolution of a constrained optimization problem of linear and bilinear matrix inequalities (LMI and BMI) allowing to guarantee simultaneously the existence conditions of the filter as well as a performance level, either in an energy context for LTI systems, or in an amplitude context or in a mixed energy/amplitude context for LPV systemsThe proposed synthesis methodology is illustrated on an academic example and is compared with other existing methods in the literature. Finally, the methodology is applied to the case of attitude and acceleration control of a satellite, under realistic simulation conditions
Trabalhos de conferências sobre o assunto "Filtre H1"
J. de Oliveira, Bárbara, Víctor C. S. Campos e Márcio F. Braga. "Estimação de Estados de uma Câmara Termoeletricamente Controlada utilizando Projetos de Filtros H1". In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1748.
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