Fuzzy Kalman Filter Validation Using the Local Statistical Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Link
http://link.springer.com/content/pdf/10.1007/s40903-015-0010-0.pdf
Reference62 articles.
1. Harris, C.J., Gan, Q.: State estimation and multi-sensor data fusion using data-based neurofuzzy local linearization process models. Inf. Fusion 2, 17–29 (2001)
2. Watanabe, K., Pathiranage, C.D., Izumi, K.: A fuzzy Kalman filter approach to the SLAM problem of nonholonomic mobile robots. In: Proceedings of the 17th IFAC World Congress, pp. 4600–4605, Seoul, July 2008
3. McGinnity, S., Irwin, G.: Nonlinear Kalman filtering using fuzzy local linear models. In: Proceedings of the American Control Conference, pp. 3299–3300, Albuquerque, June 1997
4. Rigatos, G.G.: Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and industrial engineering. Springer, Heidelberg (2011)
5. Zolghadri, A.: An algorithm for real-time failure detection in Kalman filters. IEEE Trans. Autom. Control 41(10), 1537–1539 (1996)
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