K. Anastassia and P. Plöger, Model-Based Fault Diagnosis Techniques for Mobile Robots, IFACPapersOnLine, vol.49, 2016.

M. R. Rajamani, B. J. Odelson, and J. B. Rawlings, A New Autocovariance Least-Squares Method for Estimating Noise Covariances, 2003.

R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises, 2012.

Z. Cai, A multiple particle filters method for fault diagnosis of mobile robot dead-reckoning system, IEEE International Conference on Intelligent Robots and Systems, 2005.

J. Chen and R. J. Patton, Robust Model-Based Fault Diagnosis for Dynamic Systems, The International Series on Asian Studies in Computer and Information Science, 1998.

P. Corke, Robotics, Vision and Control-Fundamental Algorithms in MATLAB, 2011.

C. Zixing, D. Zhuohua, and Y. Jinxia, Fault Diagnosis and Fault Tolerant Control for Wheeled Mobile Robots under Unknown Environments: A Survey, Proceedings of IEEE ICRA, 2005.

G. K. Fourlas, G. C. Karras, and K. J. Kyriakopoulos, Sensors fault diagnosis in autonomous mobile robots using observer Based technique, International Conference on Control, Automation and Robotics, ICRA, 2015.
DOI : 10.1109/iccar.2015.7166000

G. K. Fourlas, Model based actuator fault diagnosis for a mobile robot, IEEE International Conference on Industrial Technology (ICIT), 2014.
DOI : 10.1109/icit.2014.6894976

M. Hashimoto, S. Watanabe, and K. Takahashi, Sensor fault detection and isolation for a powered wheelchair, IEEE/ASME international conference on advanced intelligent mechatronics, 2007.
DOI : 10.1109/aim.2007.4412450

S. J. Julier and J. K. Uhlmann, A New Extension of the Kalman Filter to Nonlinear Systems, Proc. SPIE, vol.3068, 1999.

A. Mouzakitis, Classification of Fault Diagnosis Methods for Control Systems, Measurement and Control, 2013.

F. Pukelsheim, The Three Sigma Rule, The American Statistician, 1994.
DOI : 10.1080/00031305.1994.10476030

S. I. Roumeliotis, G. S. Sukhatme, and G. A. Bekey, Sensor fault detection and identification in a mobile robot, Proceedings. IEEE/RSJ ICIRS. Innovations in Theory, Practice and Applications, 1998.
DOI : 10.1109/iros.1998.724781

URL : http://robotics.caltech.edu/~stergios/papers/iros98.pdf

S. C. Rutan, Adaptive Kalman filtering, Analytical Chemistry, 1991.

M. Sayed-mouchaweh and P. Billaudel, Abrupt and Drift-Like Fault Diagnosis of Concurrent Discrete Event Systems, 11th International Conference on Machine Learning and Applications, 2012.
DOI : 10.1109/icmla.2012.157

P. Sundvall and P. Jensfelt, Fault detection for mobile robots using redundant positioning systems, Proceedings IEEE, 2006.
DOI : 10.1109/robot.2006.1642280

URL : http://www.nada.kth.se/~patric/publications/icra06-paul.pdf

S. Thrun, Monte Carlo localization for mobile robots, Proceedings of IEEE International Conference on Robotics and Automation, 1999.

V. Verma, G. Gordon, and R. Simmons, Efficient Monitoring for Planetary Rovers, International Symposium on Artificial Intelligence and Robotics in Space, 2003.

V. Verma, J. Langford, and R. Simmons, NonParametric Fault Identification for Space Rovers, In International Symposium On Artificial Intelligence And Robotics In Space (ISAIRAS), 2001.

L. Yutian and C. Jungan, Integrated Fault Diagnosis Method of Mobile Robot, Communications in Computer and Information Science, vol.164, 2011.
DOI : 10.1007/978-3-642-24999-0_52