Filtros : "FILTROS DE KALMAN" "ARTIGO DE PERIODICO" Removido: "International Conference on Industry Aplications - INDUSCON" Limpar

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  • Source: IEEE Robotics and Automation Letters. Unidade: EESC

    Subjects: ENGENHARIA MECÂNICA, ROBÔS, MÉTODOS MCMC, FILTROS DE KALMAN, SISTEMAS LINEARES

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      ESCALANTE, Felix M et al. Markovian transparency control of an exoskeleton robot. IEEE Robotics and Automation Letters, v. 8, n. 2, p. 544-551, 2023Tradução . . Disponível em: https://doi.org/10.1109/LRA.2022.3226034. Acesso em: 02 jul. 2024.
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      Escalante, F. M., Santos, L. F. dos, Moreno, Y., Siqueira, A. A. G., Terra, M. H., & Boaventura, T. (2023). Markovian transparency control of an exoskeleton robot. IEEE Robotics and Automation Letters, 8( 2), 544-551. doi:10.1109/LRA.2022.3226034
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      Escalante FM, Santos LF dos, Moreno Y, Siqueira AAG, Terra MH, Boaventura T. Markovian transparency control of an exoskeleton robot [Internet]. IEEE Robotics and Automation Letters. 2023 ; 8( 2): 544-551.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/LRA.2022.3226034
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      Escalante FM, Santos LF dos, Moreno Y, Siqueira AAG, Terra MH, Boaventura T. Markovian transparency control of an exoskeleton robot [Internet]. IEEE Robotics and Automation Letters. 2023 ; 8( 2): 544-551.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/LRA.2022.3226034
  • Source: Journal of Fluids and Structures. Unidade: EESC

    Subjects: DINÂMICA DAS ESTRUTURAS, FILTROS DE KALMAN, VIBRAÇÕES, ENGENHARIA MECÂNICA

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      ÁLVAREZ BRICEÑO, Ricardo Patricio et al. Experimental estimation of equivalent loads on upward two-phase crossflow in tube bundles via Kalman filtering. Journal of Fluids and Structures, v. 120, p. 1-20, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jfluidstructs.2023.103900. Acesso em: 02 jul. 2024.
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      Álvarez Briceño, R. P., Kanizawa, F. T., Ribatski, G., & Oliveira, L. P. R. de. (2023). Experimental estimation of equivalent loads on upward two-phase crossflow in tube bundles via Kalman filtering. Journal of Fluids and Structures, 120, 1-20. doi:10.1016/j.jfluidstructs.2023.103900
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      Álvarez Briceño RP, Kanizawa FT, Ribatski G, Oliveira LPR de. Experimental estimation of equivalent loads on upward two-phase crossflow in tube bundles via Kalman filtering [Internet]. Journal of Fluids and Structures. 2023 ; 120 1-20.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jfluidstructs.2023.103900
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      Álvarez Briceño RP, Kanizawa FT, Ribatski G, Oliveira LPR de. Experimental estimation of equivalent loads on upward two-phase crossflow in tube bundles via Kalman filtering [Internet]. Journal of Fluids and Structures. 2023 ; 120 1-20.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jfluidstructs.2023.103900
  • Source: IEEE Access. Unidade: EESC

    Subjects: SISTEMAS DE CONTROLE, FILTROS DE KALMAN, AERONAVES QUADRIMOTORAS, VENTO, TRAJETÓRIA, RASTREAMENTO

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      BENEVIDES, João Roberto Soares et al. Disturbance observer-based robust control of a quadrotor subject to parametric uncertainties and wind disturbance. IEEE Access, v. 10, p. 7554-7565, 2022Tradução . . Disponível em: http://dx.doi.org/10.1109/ACCESS.2022.3141939. Acesso em: 02 jul. 2024.
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      Benevides, J. R. S., Paiva, M. A. D. 'S., Simplício, P. V. G., Inoue, R. S., & Terra, M. H. (2022). Disturbance observer-based robust control of a quadrotor subject to parametric uncertainties and wind disturbance. IEEE Access, 10, 7554-7565. doi:10.1109/ACCESS.2022.3141939
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      Benevides JRS, Paiva MAD'S, Simplício PVG, Inoue RS, Terra MH. Disturbance observer-based robust control of a quadrotor subject to parametric uncertainties and wind disturbance [Internet]. IEEE Access. 2022 ; 10 7554-7565.[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1109/ACCESS.2022.3141939
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      Benevides JRS, Paiva MAD'S, Simplício PVG, Inoue RS, Terra MH. Disturbance observer-based robust control of a quadrotor subject to parametric uncertainties and wind disturbance [Internet]. IEEE Access. 2022 ; 10 7554-7565.[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1109/ACCESS.2022.3141939
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: RESERVATÓRIOS DE PETRÓLEO, FILTROS DE KALMAN

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      RANAZZI, Paulo Henrique e LUO, Xiaodong e PINTO, Marcio Augusto Sampaio. Improving pseudo-optimal Kalman-gain localization using the random shuffle method. Journal of Petroleum Science and Engineering, v. 215, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.110589. Acesso em: 02 jul. 2024.
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      Ranazzi, P. H., Luo, X., & Pinto, M. A. S. (2022). Improving pseudo-optimal Kalman-gain localization using the random shuffle method. Journal of Petroleum Science and Engineering, 215. doi:10.1016/j.petrol.2022.110589
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      Ranazzi PH, Luo X, Pinto MAS. Improving pseudo-optimal Kalman-gain localization using the random shuffle method [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 215[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
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      Ranazzi PH, Luo X, Pinto MAS. Improving pseudo-optimal Kalman-gain localization using the random shuffle method [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 215[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.petrol.2022.110589
  • Source: Journal of Intelligent and Robotic Systems. Unidade: EESC

    Subjects: SENSOR, FILTROS DE KALMAN, PROCESSOS DE MARKOV, ENGENHARIA ELÉTRICA

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      FRANCELINO, Edson Hernandes et al. Markov system with self-aligning joint constraint to estimate attitude and joint angles between two consecutive segments. Journal of Intelligent and Robotic Systems, v. 104, n. 3, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10846-022-01572-w. Acesso em: 02 jul. 2024.
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      Francelino, E. H., Pereira, M., Inoue, R. dos S., Terra, M. H., Siqueira, A. A. G., & Nogueira, S. (2022). Markov system with self-aligning joint constraint to estimate attitude and joint angles between two consecutive segments. Journal of Intelligent and Robotic Systems, 104( 3), 1-12. doi:10.1007/s10846-022-01572-w
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      Francelino EH, Pereira M, Inoue R dos S, Terra MH, Siqueira AAG, Nogueira S. Markov system with self-aligning joint constraint to estimate attitude and joint angles between two consecutive segments [Internet]. Journal of Intelligent and Robotic Systems. 2022 ; 104( 3): 1-12.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s10846-022-01572-w
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      Francelino EH, Pereira M, Inoue R dos S, Terra MH, Siqueira AAG, Nogueira S. Markov system with self-aligning joint constraint to estimate attitude and joint angles between two consecutive segments [Internet]. Journal of Intelligent and Robotic Systems. 2022 ; 104( 3): 1-12.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s10846-022-01572-w
  • Source: Energies. Unidade: EESC

    Subjects: FILTROS DE KALMAN, SISTEMAS ELÉTRICOS DE POTÊNCIA, ENGENHARIA ELÉTRICA

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      BRETAS, Arturo Suman et al. Hybrid physics-based adaptive Kalman filter state estimation framework. Energies, v. 14, n. 20, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14206787. Acesso em: 02 jul. 2024.
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      Bretas, A. S., Bretas, N. G., Massignan, J. A. D., & London Junior, J. B. A. (2021). Hybrid physics-based adaptive Kalman filter state estimation framework. Energies, 14( 20), 1-17. doi:10.3390/en14206787
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      Bretas AS, Bretas NG, Massignan JAD, London Junior JBA. Hybrid physics-based adaptive Kalman filter state estimation framework [Internet]. Energies. 2021 ; 14( 20): 1-17.[citado 2024 jul. 02 ] Available from: https://doi.org/10.3390/en14206787
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      Bretas AS, Bretas NG, Massignan JAD, London Junior JBA. Hybrid physics-based adaptive Kalman filter state estimation framework [Internet]. Energies. 2021 ; 14( 20): 1-17.[citado 2024 jul. 02 ] Available from: https://doi.org/10.3390/en14206787
  • Source: IEEE Transactions on Signal Processing. Unidade: EP

    Subjects: MONITORAMENTO, FILTROS DE KALMAN

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      CLASER, Rafaello e NASCIMENTO, Vítor Heloiz. On the tracking performance of adaptive filters and their combinations. IEEE Transactions on Signal Processing, v. 69, p. 3104-3116, 2021Tradução . . Disponível em: https://doi.org/10.1109/TSP.2021.3081045. Acesso em: 02 jul. 2024.
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      Claser, R., & Nascimento, V. H. (2021). On the tracking performance of adaptive filters and their combinations. IEEE Transactions on Signal Processing, 69, 3104-3116. doi:10.1109/TSP.2021.3081045
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      Claser R, Nascimento VH. On the tracking performance of adaptive filters and their combinations [Internet]. IEEE Transactions on Signal Processing. 2021 ; 69 3104-3116.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/TSP.2021.3081045
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      Claser R, Nascimento VH. On the tracking performance of adaptive filters and their combinations [Internet]. IEEE Transactions on Signal Processing. 2021 ; 69 3104-3116.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/TSP.2021.3081045
  • Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EP

    Subjects: COMBUSTÃO, FILTROS DE KALMAN, PROCESSAMENTO DE IMAGENS

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      SILVA NETO, Gustavo Cunha da Silva et al. Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40430-021-02967-w. Acesso em: 02 jul. 2024.
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      Silva Neto, G. C. da S., Chui, D. de S., Martins, F. P. R., Fleury, A. de T., & Furnari, F. (2021). Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43, 1-13. doi:10.1007/s40430-021-02967-w
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      Silva Neto GC da S, Chui D de S, Martins FPR, Fleury A de T, Furnari F. Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43 1-13.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s40430-021-02967-w
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      Silva Neto GC da S, Chui D de S, Martins FPR, Fleury A de T, Furnari F. Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43 1-13.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s40430-021-02967-w
  • Source: Mechanical Systems and Signal Processing. Unidade: EP

    Subjects: PROBLEMAS INVERSOS, FILTROS DE KALMAN, IMPEDÂNCIA ELÉTRICA, TOMOGRAFIA

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      PELLEGRINI, Sérgio de Paula e TRIGO, Flávio Celso e GONZÁLEZ LIMA, Raúl. Adaptive Kalman filter-based information fusion in electricalimpedance tomography for a two-phase flow. Mechanical Systems and Signal Processing, v. 150, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ymssp.2020.107326. Acesso em: 02 jul. 2024.
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      Pellegrini, S. de P., Trigo, F. C., & González Lima, R. (2021). Adaptive Kalman filter-based information fusion in electricalimpedance tomography for a two-phase flow. Mechanical Systems and Signal Processing, 150, 1-21. doi:10.1016/j.ymssp.2020.107326
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      Pellegrini S de P, Trigo FC, González Lima R. Adaptive Kalman filter-based information fusion in electricalimpedance tomography for a two-phase flow [Internet]. Mechanical Systems and Signal Processing. 2021 ; 150 1-21.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.ymssp.2020.107326
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      Pellegrini S de P, Trigo FC, González Lima R. Adaptive Kalman filter-based information fusion in electricalimpedance tomography for a two-phase flow [Internet]. Mechanical Systems and Signal Processing. 2021 ; 150 1-21.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.ymssp.2020.107326
  • Source: Systems & Control Letters. Unidade: EESC

    Subjects: FILTROS DE KALMAN, MÍNIMOS QUADRADOS, CONTROLE (TEORIA DE SISTEMAS E CONTROLE)

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      ROCHA, Kaio Douglas Teófilo e TERRA, Marco Henrique. Robust Kalman filter for systems subject to parametric uncertainties. Systems & Control Letters, v. 157, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.conengprac.2020.104630. Acesso em: 02 jul. 2024.
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      Rocha, K. D. T., & Terra, M. H. (2021). Robust Kalman filter for systems subject to parametric uncertainties. Systems & Control Letters, 157. doi:10.1016/j.sysconle.2021.105034
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      Rocha KDT, Terra MH. Robust Kalman filter for systems subject to parametric uncertainties [Internet]. Systems & Control Letters. 2021 ; 157[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630
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      Rocha KDT, Terra MH. Robust Kalman filter for systems subject to parametric uncertainties [Internet]. Systems & Control Letters. 2021 ; 157[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630
  • Source: Journal of Modern Power Systems and Clean Energy. Unidade: EESC

    Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA, FILTROS DE KALMAN, ENGENHARIA ELÉTRICA

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      MASSIGNAN, Julio Augusto Druzina e LONDON JUNIOR, João Bosco Augusto. Tracking power system state evolution with maximum-correntropy-based extended Kalman filter. Journal of Modern Power Systems and Clean Energy, v. 8, n. 4, p. 616-626, 2020Tradução . . Disponível em: https://doi.org/10.35833/MPCE.2020.000122. Acesso em: 02 jul. 2024.
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      Massignan, J. A. D., & London Junior, J. B. A. (2020). Tracking power system state evolution with maximum-correntropy-based extended Kalman filter. Journal of Modern Power Systems and Clean Energy, 8( 4), 616-626. doi:10.35833/MPCE.2020.000122
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      Massignan JAD, London Junior JBA. Tracking power system state evolution with maximum-correntropy-based extended Kalman filter [Internet]. Journal of Modern Power Systems and Clean Energy. 2020 ; 8( 4): 616-626.[citado 2024 jul. 02 ] Available from: https://doi.org/10.35833/MPCE.2020.000122
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      Massignan JAD, London Junior JBA. Tracking power system state evolution with maximum-correntropy-based extended Kalman filter [Internet]. Journal of Modern Power Systems and Clean Energy. 2020 ; 8( 4): 616-626.[citado 2024 jul. 02 ] Available from: https://doi.org/10.35833/MPCE.2020.000122
  • Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EESC

    Subjects: FILTROS DE KALMAN, DINÂMICA DAS ESTRUTURAS, ENGENHARIA MECÂNICA

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      ÁLVAREZ BRICEÑO, Ricardo Patricio et al. On the robustness of a model‑based inverse force identifcation applied on a structure submerged in diferent media. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 42, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40430-020-02583-0. Acesso em: 02 jul. 2024.
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      Álvarez Briceño, R. P., Naets, F., Desmet, W., & Oliveira, L. P. R. de. (2020). On the robustness of a model‑based inverse force identifcation applied on a structure submerged in diferent media. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42, 1-13. doi:10.1007/s40430-020-02583-0
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      Álvarez Briceño RP, Naets F, Desmet W, Oliveira LPR de. On the robustness of a model‑based inverse force identifcation applied on a structure submerged in diferent media [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2020 ; 42 1-13.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s40430-020-02583-0
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      Álvarez Briceño RP, Naets F, Desmet W, Oliveira LPR de. On the robustness of a model‑based inverse force identifcation applied on a structure submerged in diferent media [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2020 ; 42 1-13.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s40430-020-02583-0
  • Source: Journal of Sound and Vibration. Unidade: EESC

    Subjects: FILTROS DE KALMAN, DINÂMICA DAS ESTRUTURAS, DEFORMAÇÃO ESTRUTURAL, ENGENHARIA MECÂNICA

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      ÁLVAREZ BRICEÑO, Ricardo Patricio e OLIVEIRA, Leopoldo Pisanelli Rodrigues de. Combining strain and acceleration measurements for random force estimation via Kalman filtering on a cantilevered structure. Journal of Sound and Vibration, v. 469, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jsv.2019.115112. Acesso em: 02 jul. 2024.
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      Álvarez Briceño, R. P., & Oliveira, L. P. R. de. (2020). Combining strain and acceleration measurements for random force estimation via Kalman filtering on a cantilevered structure. Journal of Sound and Vibration, 469, 1-14. doi:10.1016/j.jsv.2019.115112
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      Álvarez Briceño RP, Oliveira LPR de. Combining strain and acceleration measurements for random force estimation via Kalman filtering on a cantilevered structure [Internet]. Journal of Sound and Vibration. 2020 ; 469 1-14.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jsv.2019.115112
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      Álvarez Briceño RP, Oliveira LPR de. Combining strain and acceleration measurements for random force estimation via Kalman filtering on a cantilevered structure [Internet]. Journal of Sound and Vibration. 2020 ; 469 1-14.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jsv.2019.115112
  • Source: IEEE Transactions on Instrumentation and Measurement. Unidade: EESC

    Subjects: FILTROS DE KALMAN, INSTRUMENTAÇÃO ELÉTRICA

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      LIBONI, Luisa Helena Bartocci e OLIVEIRA, Maurício C. de e SILVA, Ivan Nunes da. Optimal Kalman estimation of symmetrical sequence components. IEEE Transactions on Instrumentation and Measurement, v. 69, n. 11, p. 8844-8852, 2020Tradução . . Disponível em: http://dx.doi.org/10.1109/TIM.2020.2995231. Acesso em: 02 jul. 2024.
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      Liboni, L. H. B., Oliveira, M. C. de, & Silva, I. N. da. (2020). Optimal Kalman estimation of symmetrical sequence components. IEEE Transactions on Instrumentation and Measurement, 69( 11), 8844-8852. doi:10.1109/TIM.2020.2995231
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      Liboni LHB, Oliveira MC de, Silva IN da. Optimal Kalman estimation of symmetrical sequence components [Internet]. IEEE Transactions on Instrumentation and Measurement. 2020 ; 69( 11): 8844-8852.[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1109/TIM.2020.2995231
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      Liboni LHB, Oliveira MC de, Silva IN da. Optimal Kalman estimation of symmetrical sequence components [Internet]. IEEE Transactions on Instrumentation and Measurement. 2020 ; 69( 11): 8844-8852.[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1109/TIM.2020.2995231
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: SENSOR, FILTROS DE KALMAN, ENGENHARIA ELÉTRICA

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      NARASIMHAPPA, Mundla et al. MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering. IEEE Sensors Journal, v. 20, n. 1, p. 250-260, 2020Tradução . . Disponível em: http://dx.doi.org/10.1109/JSEN.2019.2941273. Acesso em: 02 jul. 2024.
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      Narasimhappa, M., Mahindrakar, A. D., Guizilini, V. C., Terra, M. H., & Sabat, S. L. (2020). MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering. IEEE Sensors Journal, 20( 1), 250-260. doi:10.1109/JSEN.2019.2941273
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      Narasimhappa M, Mahindrakar AD, Guizilini VC, Terra MH, Sabat SL. MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering [Internet]. IEEE Sensors Journal. 2020 ; 20( 1): 250-260.[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1109/JSEN.2019.2941273
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      Narasimhappa M, Mahindrakar AD, Guizilini VC, Terra MH, Sabat SL. MEMS-based IMU drift minimization: sage husa adaptive robust Kalman filtering [Internet]. IEEE Sensors Journal. 2020 ; 20( 1): 250-260.[citado 2024 jul. 02 ] Available from: http://dx.doi.org/10.1109/JSEN.2019.2941273
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: FILTROS DE KALMAN, SENSORES ÓPTICOS, FIBRA ÓPTICA

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      LEAL-JUNIOR, Arnaldo et al. Quasi-distributed torque and displacement sensing on a series elastic actuator’s spring using FBG arrays inscribed in CYTOP fibers. IEEE Sensors Journal, v. 19, n. ju 2019, p. 4054-4061, 2019Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2019.2898722. Acesso em: 02 jul. 2024.
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      Leal-Junior, A., Theodosiou, A., Min, R., Casas, J., Díaz, C., Santos, W. M. dos, et al. (2019). Quasi-distributed torque and displacement sensing on a series elastic actuator’s spring using FBG arrays inscribed in CYTOP fibers. IEEE Sensors Journal, 19( ju 2019), 4054-4061. doi:10.1109/JSEN.2019.2898722
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      Leal-Junior A, Theodosiou A, Min R, Casas J, Díaz C, Santos WM dos, Pontes MJ, Siqueira AAG, Marques C, Kalli K, Frizera Neto A. Quasi-distributed torque and displacement sensing on a series elastic actuator’s spring using FBG arrays inscribed in CYTOP fibers [Internet]. IEEE Sensors Journal. 2019 ; 19( ju 2019): 4054-4061.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/JSEN.2019.2898722
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      Leal-Junior A, Theodosiou A, Min R, Casas J, Díaz C, Santos WM dos, Pontes MJ, Siqueira AAG, Marques C, Kalli K, Frizera Neto A. Quasi-distributed torque and displacement sensing on a series elastic actuator’s spring using FBG arrays inscribed in CYTOP fibers [Internet]. IEEE Sensors Journal. 2019 ; 19( ju 2019): 4054-4061.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/JSEN.2019.2898722
  • Source: Control Engineering Practice. Unidade: EESC

    Subjects: CONTROLE ÓTIMO, FILTROS DE KALMAN, MEMBROS INFERIORES, ROBÓTICA, ENGENHARIA MECÂNICA

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      SANTOS, Willian Miranda dos e SIQUEIRA, Adriano Almeida Gonçalves. Optimal impedance via model predictive control for robot-aided rehabilitation. Control Engineering Practice, v. 93, p. 1-8, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.conengprac.2019.104177. Acesso em: 02 jul. 2024.
    • APA

      Santos, W. M. dos, & Siqueira, A. A. G. (2019). Optimal impedance via model predictive control for robot-aided rehabilitation. Control Engineering Practice, 93, 1-8. doi:10.1016/j.conengprac.2019.104177
    • NLM

      Santos WM dos, Siqueira AAG. Optimal impedance via model predictive control for robot-aided rehabilitation [Internet]. Control Engineering Practice. 2019 ; 93 1-8.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.conengprac.2019.104177
    • Vancouver

      Santos WM dos, Siqueira AAG. Optimal impedance via model predictive control for robot-aided rehabilitation [Internet]. Control Engineering Practice. 2019 ; 93 1-8.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.conengprac.2019.104177
  • Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EEL

    Assunto: FILTROS DE KALMAN

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      PARDAL, Paula Cristiane Pinto Mesquita et al. An investigation on cubature Kalman filter performance for orbit determination application. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 41, n. 403, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40430-019-1909-2. Acesso em: 02 jul. 2024.
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      Pardal, P. C. P. M., Garcia, R. V., Kuga, H. K., & Silva, W. R. (2019). An investigation on cubature Kalman filter performance for orbit determination application. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41( 403), 1-11. doi:10.1007/s40430-019-1909-2
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      Pardal PCPM, Garcia RV, Kuga HK, Silva WR. An investigation on cubature Kalman filter performance for orbit determination application [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2019 ;41( 403): 1-11.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s40430-019-1909-2
    • Vancouver

      Pardal PCPM, Garcia RV, Kuga HK, Silva WR. An investigation on cubature Kalman filter performance for orbit determination application [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2019 ;41( 403): 1-11.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1007/s40430-019-1909-2
  • Source: IEEE Robotics and Automation Letters. Unidade: EESC

    Subjects: SENSORES ÓPTICOS, FILTROS DE KALMAN, ROBÓTICA, REABILITAÇÃO

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      PÉREZ IBARRA, Juan Carlos et al. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle. IEEE Robotics and Automation Letters, v. 4, n. 2, p. 185-195, 2019Tradução . . Disponível em: https://doi.org/10.1109/LRA.2018.2885165. Acesso em: 02 jul. 2024.
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      Pérez Ibarra, J. C., Siqueira, A. A. G., Silva-Couto, M. A., Russo, T. L., & Krebs, H. I. (2019). Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle. IEEE Robotics and Automation Letters, 4( 2), 185-195. doi:10.1109/LRA.2018.2885165
    • NLM

      Pérez Ibarra JC, Siqueira AAG, Silva-Couto MA, Russo TL, Krebs HI. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle [Internet]. IEEE Robotics and Automation Letters. 2019 ; 4( 2): 185-195.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/LRA.2018.2885165
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG, Silva-Couto MA, Russo TL, Krebs HI. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle [Internet]. IEEE Robotics and Automation Letters. 2019 ; 4( 2): 185-195.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1109/LRA.2018.2885165
  • Source: Advances in space research. Unidade: EEL

    Assunto: FILTROS DE KALMAN

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      GARCIA, Roberta Veloso et al. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter. Advances in space research, v. 63, n. 2, p. 1038-1050, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asr.2018.10.003. Acesso em: 02 jul. 2024.
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      Garcia, R. V., Pardal, P. C. P. M., Kuga, H. K., & Zanardi, M. C. (2019). Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter. Advances in space research, 63( 2), 1038-1050. doi:10.1016/j.asr.2018.10.003
    • NLM

      Garcia RV, Pardal PCPM, Kuga HK, Zanardi MC. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter [Internet]. Advances in space research. 2019 ;63( 2): 1038-1050.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.asr.2018.10.003
    • Vancouver

      Garcia RV, Pardal PCPM, Kuga HK, Zanardi MC. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter [Internet]. Advances in space research. 2019 ;63( 2): 1038-1050.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.asr.2018.10.003

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