Publikationen

  • Sun L., Alkhatib H., Kargoll B., Kreinovich V. und Neumann I. (2019): Ellipsoidal and Gaussian Kalman Filter Model for Discrete-Time Nonlinear SystemsMathematics Vol. 7, No. 12, S. 1168
    DOI: 10.3390/math7121168
  • Schön S., Brenner C., Alkhatib H., Coenen M., Dbouk H., Garcia Fernandez N., Fischer C., Heipke C., Lohmann K., Neumann I., Nguyen U., Paffenholz J.-A., Peters T., Rottensteiner F., Schachtschneider J., Sester M., Sun L., Vogel S., Voges R., Wagner B. (2018): Integrity and Collaboration in Dynamic Sensor NetworksSensors 2018
    DOI: 10.3390/s18072400
  • Sun L., Alkhatib H., Kargoll B., Kreinovich V., Neumann I. (2018): A new Kalman filter model for nonlinear systems based on ellipsoidal bounding
    arXiv: 1802.02970
  • Sun L., Alkhatib H., Paffenholz J.-A., Neumann I. (2018): Geo-Referencing of a Multi-Sensor System Based on Set-Membership Kalman Filter2018 21st International Conference on Information Fusion (FUSION)
    DOI: 10.23919/ICIF.2018.8455763
  • Sun, L. (2018): Geo-Referencing of a Multi-Sensor System Based on Set-membership Kalman FilterIn: 21st International Conference on Information Fusion (FUSION) 2018, Cambridge, United Kingdom, July 10-13, 2018
  • Sun L., Dbouk H., Neumann I., Schön S. and Kreinovich V. (2017): Taking into Account Interval (and Fuzzy) Uncertainty Can Lead to More Adequate Statistical EstimatesFuzzy Logic in Intelligent System Design. NAFIPS 2017
    DOI: 10.1007/978-3-319-67137-6_41
  • Sun L., Dbouk H., Neumann I., Schön S. and Kreinovich V. (2017): Taking into Account Interval (and Fuzzy) Uncertainty Can Lead to More Adequate Statistical EstimatesFuzzy Logic in Intelligent System Design. NAFIPS 2017