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Macroscopic Traffic Flow Control Via State Estimation

Conference on Control and Automation (MED.07), 2007. http://hal.inria.fr/inria/00142588/fr/ 17. Mihaylova, L., R. B o e l. A Particle Filter for Freeway Traffic Estimation. - In: Proc. of 43rd IEEE Conf. on Decision and Control, 14-17 December 2004, Atlantis, Paradise Island, Bahamas, pp. 2106-2111. 18. Nahi, N.E., A. N. Trivedi. Recursive Estimation of Traffic Variables: Section Density and Average Speed. Tech. Report, 1976. University of Southern California, Los Angeles. 19. Rolink, M., T. Boukhobza, D. Sauter. High Order

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A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection

alternative FIR filter for state estimation in discrete-time systems. Digital Signal Processing, 20 (3), 935-943. [12] Kim, P.S. (2013). A computationally efficient fixedlag smoother using recent finite measurements. Measurement, 46 (1), 846-850. [13] Zhao, S., Shmaliy, Y.S., Huang, B., Liu, F. (2015). Minimum variance unbiased FIR filter for discrete time-variant systems. Automatica, 53 (2), 355-361. [14] Pak, J., Ahn, C., Shmaliy, Y., Lim, M. (2015). Improving reliability of particle filter-based localization in wireless

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Transient Flow in Gas Networks: Traveling waves

. Liu, M., Zang, S. and Zhou, D. (2005). Fast leak detection and location of gas pipelines based on an adaptive particle filter, International Journal of Applied Mathematics and Computer Science 15(4): 541-550. Mugnolo, D. and Rault, J.-F. (2014). Construction of exact travelling waves for the Benjamin-Bona-Mahony equation on networks, Bulletin of the Belgian Mathematical Society Simon Stevin 21(3): 415-436. Osiadacz, A. (1984). Simulation of transient gas flows in networks, International Journal for Numerical Methods in Fluids 4(1): 13

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Correction of Navigational Information Supplied to Biomimetic Autonomous Underwater Vehicle

BIBLIOGRAPHY 1. B. Allotta, A. Caiti, L. Chisci, R. Costanzi, F. Di Corato, C. Fantacci, D. Fenucci, E. Meli, A. Ridolfi : Development of a Navigation Algorithm for Autonomous Underwater Vehicles. IFAC-PapersOnLine, Vol. 48, Is. 2, 2015, pp. 64-69 2. S. Arulampalam, S. Maskell, N. Gordon and T. Clapp: A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Trans, Signal Processing, 50 (2), 2002, pp. 174–188 3. D. Li, D. Ji, J. Liu, Y. Lin : A Multi-Model EKF Integrated Navigation Algorithm for Deep Water AUV

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Simultaneous localization and mapping: A feature-based probabilistic approach

-the-fly localization: Precision and reliability for applications, Robotics and Autonomous Systems   34 (2-3): 131-143. Arulampalam, M. S., Maskell, S., Gordon, N. and Clapp, T. (2002). A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing   50 (2): 174-187. Austin, D. and Jensfelt, P. (2000). Using multiple Gaussian hypotheses to represent probability distributions for mobile robot localization, Proceedings of the IEEE International Conference on Robotics and

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Model–Based Techniques for Virtual Sensing of Longitudinal Flight Parameters

References Arulampalam, S., Maskell, S. and Gordon, N. (2002). A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing 50(2): 174-188. Boiffier, J.-L. (1998). The Dynamics of Flight: The Equations, John Wiley & Sons, Chichester. Bucharles, A., Cumer, C., Hardier, G., Jacquier, B., Janot, A., Le Moing, T., Seren, C., Toussaint, C. and Vacher, P. (2012). An overview of relevant issues for aircraft model identification, ONERA, AerospaceLab Journal

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Efficiency of Electret Polycarbonate Nonwovens in Respiratory Protection Against Nanoparticles

[30] Rengasamy S., Miller A., Vo E., Eimer B. C. 2013. Filter Performance Degradation of Electrostatic N95 and P100 Filtering Facepiece Respirators by Dioctyl Phthalate Aerosol Loading. Journal of Engineered Fibers and Fabrics, Volume 8, (3 ): 62-69); [31] Patent. Poland, No. 212 2007, (2011) [32] Standard EN 13274-7: 2008 Respiratory protective devices. Methods of test. Part 7: Determination of particle filter penetration. [33] Standard EN 13274-3:2001 Respiratory protective devices. Methods of test. Part 3

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Method for Introducing Zeolites and MCM-41 into Polypropylene Melt-Blown Nonwovens

] Gregis, G., Schaefer, S., Sanchez, J. B., Fierro, V., Berger, F., Bezverkhy, I., Weber, G., Bellat, J. P., Celzard, A. (2017). Characterization of materials toward toluene traces detection for air quality monitoring and lung cancer diagnosis. Materials Chemistry and Physics, 192, 374-382. [32] EN 13274-3: 2008 Respiratory protective devices. Methods of tests. Determination of breathing resistance. [33] EN 13274-7: 2008 Respiratory protective devices. Methods of tests. Determination of particle filter penetration. [34] EN 14387: 2004+AC:2004

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Investigating the impact of surface soil moisture assimilation on state and parameter estimation in SWAT model based on the ensemble Kalman filter in upper Huai River basin

moisture data assimilation using support vector machines and ensemble particle filter. Journal of Hydrology, 475, 53–64. Yu, Z., Fu, X., Luo, L., Lü, H., Ju, Q., Liu, D., Kalin, A.D., Huang, D., Yang, C., Zhao, L., 2014. One-dimensional soil temperature simulation with Common Land Model by assimilating in situ observations and MODIS LST with the ensemble particle filter. Water Resources Research, 50, 8, 6950–6965.

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The Characteristics of the Map Merging Methods: A Survey

. 1308-1313. N. Ceccarelli, et al., "Set membership localization and map building for mobile robots," in Systems & Control: Foundations & Applications , Part III. Boston: Birkhauser, 2006, pp. 289-308. A. Howard, "Multi-robot simultaneous localization and mapping using particle filters," The International Journal on Robotics Research , vol. 25, no. 12. Sage Science Press, 2006, pp. 1243-1256. P. Bergasa, et al., "SLAM and map merging," Journal of Physical Agents , vol. 3, no. 1, 2009

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