افزایش سازگاری فیلتر ذره ای با استفاده از روش های کلاسیک و الگوریتم اجتماع ذرات

مراجع و منابع این مقاله:

• Ristic, B., Arulampalam, S., Gordon, N., in Beyond Kalman Filter:Particle ...
• Arulampalam, S., Maskell, S., Gordon, N., Clapp, T., “A tutorialon ...
• Chen, S., “Kalman filter for robot vision: A survey”, IEEE ...
• Loiola, M. B. Lopes, R.R., Romano, J.M.T., “Modified Kalman filters ...
• Roshany-Yamchi, S., Cychowski, M., Negenborn , R.R., De Schutter, B., ...
• Gustafsson, F. , Gunnarsson, F., Bergman, N. , Forssell, U., ...
• Shenoy, A. , Prakash, J. , Prasad, V., Shah, S., ...
• Park, S., Hwang, J. Kim, E., Kang, H., “A New ...
• Chi, F., Meng, W., Qing-Bo, J. , “Analysis and Comparison ...
• Doucet, A., Godsill, S., Andrieu, C. “On sequential Monte Carlo ...
• Zhang, G.-Y. , Cheng, Y.-M. , Yang, F., Pan, Q., ...
• Kronander, J., Schon, T.B., “Robust auxiliary particle filters using multiple ...
• Higuchi, T., “Monte Carlo filter using the genetic algorithm operators”, ...
• Tong, G., Zheng F., Xinhe X. “A particle swarm optimized ...
• Wang, E., et al., “Application of Neural Network Aided Particle ...
• Bar-Shalom, Y., Li, X.R., Kirubarajan, T., Estimation with Applications to ...
نمایش کامل مراجع