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Volumn , Issue , 2007, Pages 2193-2200

Distributed Kalman filtering for multiagent systems

Author keywords

Kalman filters; Multi agent systems; State estimation

Indexed keywords

KALMAN FILTERS; MULTI AGENT SYSTEMS; STATE ESTIMATION;

EID: 84927747670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2007.7068267     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 1
    • 0042303803 scopus 로고    scopus 로고
    • Structural analysis of large-scale systems for distributed state estimation and control applications
    • R. Vadigepalli and F. J. Doyle, "Structural analysis of large-scale systems for distributed state estimation and control applications," Control Engineering Practice, vol. 11, pp. 895-905, 2003.
    • (2003) Control Engineering Practice , vol.11 , pp. 895-905
    • Vadigepalli, R.1    Doyle, F.J.2
  • 2
    • 0037265344 scopus 로고    scopus 로고
    • A distributed state estimation and control algorithm for plantwide processes
    • R. Vadigepalli and I. Doyle, F. J., "A distributed state estimation and control algorithm for plantwide processes," IEEE Transactions on Control Systems Technology, vol. 11, pp. 119-127, 2003.
    • (2003) IEEE Transactions on Control Systems Technology , vol.11 , pp. 119-127
    • Vadigepalli, R.1    Doyle, I.2
  • 3
  • 5
    • 0036818092 scopus 로고    scopus 로고
    • Cooperative probabilistic state estimation for vision-based autonomous mobile robots
    • T. Schmitt, R. Hanek, M. Beetz, S. Buck, and B. Radig, "Cooperative probabilistic state estimation for vision-based autonomous mobile robots," IEEE Transactions on Robotics and Automation, vol. 18, no. 5, pp. 670-684, 2002.
    • (2002) IEEE Transactions on Robotics and Automation , vol.18 , Issue.5 , pp. 670-684
    • Schmitt, T.1    Hanek, R.2    Beetz, M.3    Buck, S.4    Radig, B.5
  • 8
    • 79955750805 scopus 로고    scopus 로고
    • Department of Computer Science, University of North Carolina, NC, USA, Tech. Rep. TR 95-041
    • G. Welch and G. Bishop, "An introduction to the Kalman filter," Department of Computer Science, University of North Carolina, NC, USA, Tech. Rep. TR 95-041, 2002.
    • (2002) An Introduction to the Kalman Filter
    • Welch, G.1    Bishop, G.2
  • 10
    • 34948841386 scopus 로고    scopus 로고
    • Klaus Dorfmüller-Ulhaas, Augsburg University, Tech. Rep. 2003-6, May
    • K. Dorfmüller-Ulhaas, "Robust optical user motion tracking using a Kalman filter," Klaus Dorfmüller-Ulhaas, Augsburg University, Tech. Rep. 2003-6, May 2003, mm-werkstatt. informatik. uniaugsburg. de/files/publications/38/squint2. pdf.
    • (2003) Robust Optical User Motion Tracking Using A Kalman Filter
    • Dorfmüller-Ulhaas, K.1
  • 11
    • 33644976580 scopus 로고    scopus 로고
    • GPS/IMU data fusion using multisensor Kalman filtering: Introduction of contextual aspects
    • F. Caron, E. Duflos, D. Pomorski, and P. Vanheeghe, "GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects," Information Fusion, vol. 7, pp. 221-230, 2006.
    • (2006) Information Fusion , vol.7 , pp. 221-230
    • Caron, F.1    Duflos, E.2    Pomorski, D.3    Vanheeghe, P.4
  • 12
    • 8344273899 scopus 로고    scopus 로고
    • Sigma-point Kalman filters for probabilistic inference in dynamic state-space models
    • June
    • R. van der Merwe and E. Wan, "Sigma-point Kalman filters for probabilistic inference in dynamic state-space models," in Workshop on Advances in Machine Learning, Montreal, June 2003.
    • (2003) Workshop on Advances in Machine Learning, Montreal
    • Merwe Der R.Van1    Wan, E.2
  • 14
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    • A fuzzycontrolled Kalman filter applied to stereo-visual tracking schemes
    • S. Aja-Fernandez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A fuzzycontrolled Kalman filter applied to stereo-visual tracking schemes," Signal Processing, vol. 83, pp. 101-120, 2003.
    • (2003) Signal Processing , vol.83 , pp. 101-120
    • Aja-Fernandez, S.1    Alberola-Lopez, C.2    Ruiz-Alzola, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.