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References 1. Chen Shuisheng, Sun Bingnan, “Numerical Study on Nonlinear Parametric Vibration of Coupled Cables and Bird Gedecks”, Chinese Journal of Civil Engineering, Vol.36, No.4, pp.70-75, 2003. 2. Gattulli V, Morandini M, Paolone A, “Parametric Analytical Model for Non-Linear Dynamics in Cable- Stayed Beam”, Earthquake Engineering and Structural Dynamic, Vol.31, pp.1281-1300, 2002. 3. [3] Guillaume Thirel, Peter Salamon, Peter Burek and Milan Kalas. Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter

System, Navigation of China, 34, 45-50 8. Lu Wenbin Yao Wenxi Lu Zhengyu,2013. Speed Sensorless Vector Control with Improved Closed-Loop Flux Observer for Induction Machines. Transactions of China Electro Technical Society,28, 148-153. 9. R.V.Merwe,A.Douvet,N.De.Freitas et al,2000. The unscented particle filter.Technical Report CUED/F@ INPENG/ TR380:Cambridge University Engi -neering Department. 10. Sui Shu-lin,Yao Wen-long,2008. Spacecraft of autonomous optical navigation Based on wavelet-UPF. Systems Engineering and Elctronics. 8,1519-1522 11. Suman Maiti, Chandan

. 47-52, vol. 18, 2015 13. Bikonis K., Demkowicz J.: Data Integration from GPS and Inertial Navigation Systems for Pedestrians in Urban Area. TransNav - International Journal on Marine Navigation and Safety of Sea Transportation 2013, vol. 7, No. 3, pp. 401-406. 14. L-3 Communications SeaBeam Instruments, Multibeam Sonar Theory of Operation. 2000. 15. Demkowicz J.: Particle Filter Modification using Kalman Optimal Filtering Method as Applied to Road Detection from Satellite Images. MIKON 2014, 20th International Conference on Microwaves, Radar and Wireless

terrain navigation system, OCEANS, Vol. 9, pp. 1-7, 2011. 9. Nordlund, P.J. and Gustafsson, F., Marginalized particle filter for accurate and reliable terrain-aided navigation, Aerospace and Electronic Systems, Vol. 45, no. 4, pp. 1385-1399, 2009. 10. Marvin, W., Roe, M.E., and Trenchard, M.C.L., Integrating vector overlay information into naval digital map systems. IEEE/AIAA 30th Digital Avionics Systems Conference, pp. 6B5-1 - 6B5-9, 2011. 11. McPhail, S., Stevenson, P., Pebody, M., et al., Challenges of using an AUV to find and map hydrothermal vent sites in deep and

BIBLIOGRAPHY 1. B. Allotta, A. Caiti, L. Chisci, R. Costanzi, F. Di Corato, C. Fantacci, D. Fenucci, E. Meli, A. Ridolfi : Development of a Navigation Algorithm for Autonomous Underwater Vehicles. IFAC-PapersOnLine, Vol. 48, Is. 2, 2015, pp. 64-69 2. S. Arulampalam, S. Maskell, N. Gordon and T. Clapp: A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking. IEEE Trans, Signal Processing, 50 (2), 2002, pp. 174–188 3. D. Li, D. Ji, J. Liu, Y. Lin : A Multi-Model EKF Integrated Navigation Algorithm for Deep Water AUV. International

al.: Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework. Computers and Chemical Engineering 95 (2016), pp. 216-230. 18. Mikielewicz D., Mikielewicz J., Tesmar J.: Improved semiempirical method for determination of heat transfer coefficient in flow boiling in conventional and small diameter tubes. International Journal of Heat and Mass Transfer Volume 50, Issues 19-20, (2007), pp. 3949-3956. 19. Mishra C., Samantaray A.K., Chakraborty G.: Bond graph modeling and experimental verification of a novel scheme for fault