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Abstract: This paper proposes that if neurofuzzy estimators produce more accurate state estimates than those calculated from the observed noisy inputs (using the known state model), then neurofuzzy estimates can be used to initialise the states of Kalman and extended Kalman filters. Filters whose states have been initialised with neurofuzzy estimates should give improved performance by way of faster convergence when the filter is initialised, and when a filter is re-started after divergence. (Update)
Context of citations to this paper: More
...(ones that are not highly correlated with the output) can be ignored, and parsimonious model is likely to be constructed. Roberts et al. [39] used this approach to construct parsimonious neurofuzzy estimators, which in turn where used to initialize a Kalman filter. The...
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2: Neurofuzzy Adaptive Modelling and Control (context) - Brown, Harris - 1994
BibTeX entry: (Update)
Roberts J.M. and Mills D.J. and Charnley D. and Harris C.J. Improved kalman filter initialisation using neurofuzzy estimation. submited to: 4th IEE International Conference on Artificial Neural Networks, 1994. http://citeseer.ist.psu.edu/roberts94improved.html More
@misc{ roberts94improved,
author = "J. Roberts and D. Mills and D. Charnley and C. Harris",
title = "Improved kalman filter initialisation using neurofuzzy estimation",
text = "Roberts J.M. and Mills D.J. and Charnley D. and Harris C.J. Improved kalman
filter initialisation using neurofuzzy estimation. submited to: 4th IEE
International Conference on Artificial Neural Networks, 1994.",
year = "1994",
url = "citeseer.ist.psu.edu/roberts94improved.html" }
Citations (may not include all citations):704 Neural Networks - A Comprehensive Foundation (context) - Haykin - 1994
41 Neurofuzzy Adaptive Modelling and Control (context) - Brown, Harris - 1994
9 ASMOD: An Algorithm for Adaptive Spline Modelling of Observa.. (context) - Kavli - 1993
6 Parallel Approach to Tracking Edge Segments in Dynamic Scene.. - Mirmehdi, Ellis - 1993
4 Design of an Extended Kalman Filter Frequency Tracker (context) - LaScala, Bitmead - 1994
3 Divergence of the Kalman Filter (context) - Fitzgerald - 1971
3 Multi-Sensor Data Fusion for Obstacle Tracking using Neurofu.. (context) - Doyle, Harris - 1994
2 Recovery of 3D Motion of a Single Particle (context) - Iu, Wohn - 1991
2 Theoretical Aspects of the CMAC and its Application to High .. (context) - An, Aslam-Mir et al. - 1994
2 Line Detection and Correction of Kalman Filter Divergence by.. (context) - Abdelnour, Chand et al. - 1993
2 Utilising Fuzzy Models in the Design of Estimators and Predi.. (context) - Moore, Harris et al. - 1993
Documents on the same site (http://www.ecs.soton.ac.uk/publications/rj/1995-1996/isis/jmr94r/iee95.htm):
Improved Kalman Filter - Initialisation Using Neurofuzzy (1996) (Correct)
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