Publikationen

Sun L., Alkhatib H., Kargoll B., Kreinovich V. und Neumann I. (2019): Ellipsoidal and Gaussian Kalman Filter Model for Discrete-Time Nonlinear Systems,  Mathematics 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 Networks,  Sensors 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 Filter,  2018 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 Filter,  In: 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 Estimates,  Fuzzy 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 Estimates,  Fuzzy Logic in Intelligent System Design. NAFIPS 2017