State estimation of nonlinear stochastic systems using a novel meta-heuristic particle filter

Swarm and Evolutionary Computation

Volumn 4, Issue , 2012, Pages 44-53

  Ahmadi, Mohamadreza ^a   Mojallali, Hamed ^a   Izadi Zamanabadi, Roozbeh ^b  

^a UNIVERSITY OF GUILAN   (Iran)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Invasive weed optimization; Nonlinear state estimation; Particle filter; Sub optimal filtering

Indexed keywords

APPROPRIATE FITNESS FUNCTION; APPROXIMATION ERRORS; ESTIMATION ERRORS; ESTIMATION PERFORMANCE; ESTIMATION PROBLEM; INVASIVE WEED OPTIMIZATION; METAHEURISTIC; NON-LINEAR OPTIMIZATION PROBLEMS; NON-LINEAR STOCHASTIC SYSTEMS; NONLINEAR STATE ESTIMATION; OPTIMIZATION PROBLEMS; PARTICLE FILTER; PARTICLE FILTERING; SIMULATION ANALYSIS; STOCHASTIC VOLATILITY;

APPROXIMATION ALGORITHMS; ERRORS; ESTIMATION; NONLINEAR FILTERING; OPTIMIZATION; STATE ESTIMATION; TARGET TRACKING;

NONLINEAR ANALYSIS;

EID: 84858440078     PISSN: 22106502     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.swevo.2011.11.004     Document Type: Article

References (32)

1. R. Kandpu, B. Foss, and L. Imsland Applying the unscented Kalman filter for nonlinear state estimation Journal of Process Control 18 78 2008 753 768
2. B.D.O. Anderson, and J.B. Moore Optimal Filtering 1979 Prentice Hall
3. T. Kailath, A. Sayed, and B. Hassibi Linear Estimation 2000 Prentice Hall
4. R.J. Elliott, L. Aggoun, and J.B. Moore Hidden Markov Models: Estimation and Control third ed. 2008 Springer-Verlag
5. B. Ristic, M. Arulampalam, and A. Gordon Beyond Kalman Filters: Particle Filters for Tracking Applications 2004 Artech House
6. N. Gordon, D. Salmond, and A.F. Smith A novel approach to nonlinear/non-Gaussian Bayesian estimation IEE Proceedings F, Radar and Signal Processing 140 2 1993 107 113
7. R. Doucet, O. Cappe, E. Moulines, Comparison of resampling schemes for particle filtering, in: 4th international Symposium on Image and Signal Process and Analysis, ISPA, Zagreb, Croatia, 2005.
8. G. Tong, Z. Fang, X. Xu, A particle swarm optimized particle filter for nonlinear system state estimation, in: IEEE Congress on Evolutionary Computing, 2006, pp. 438442.
9. R. Poli, J. Kennedy, and T. Blackwell Particle swarm optimization: an overview Swarm Intelligence 1 1 2007 33 57
10. J. Zhao, and Z. Li Particle filter based on particle swarm optimization re-sampling for vision tracking Expert Systems with Applications 37 12 2010 8910 8914
11. W. Jing, H. Zhao, C. Song, D. Liu, An optimized particle filter based on PSO algorithm, in: International Conference on Future BioMedical Information Engineering, 2009, pp. 122125.
12. A.R. Mehrabian, and C. Lucas A novel numerical optimization algorithm inspired from weed colonization Ecological Informatics 1 4 2006 355 366 (Pubitemid 44834497)
13. P. Chakraborty, G.G. Roy, S. Das, and B.K. Panigrahi On population variance and explorative power of invasive weed optimization algorithm World Congress on Nature and Biologically Inspired Computing NaBIC 2009 2009 IEEE Press Coimbatore, India
14. G.G. Roy, P. Chakraborty, S.-Z. Zhao, S. Das, P.N. Suganthan, Artificial foraging weeds for global numerical optimization over continuous spaces, in: IEEE Congress on Evolutionary Computation, 2010, pp. 18.
15. S. Karimkashi, and A.A. Kishk Invasive weed optimization and its features in electromagnetic IEEE Transactions on Antennas and Propagation 58 4 2010 1269 1278
16. A.R. Mehrabian, and A. Yousefi-Koma A novel technique for optimal placement of piezoelectric actuators on smart structures Journal of the Franklin Institute 348 1 2009 12 23
17. X. Zhang, Y. Wang, G. Cui, Y. Niu, and J. Xu Application of a novel IWO to the design of encoding sequences for DNA computing Computers and Mathematics with Applications 57 1112 2009 2001 2008
18. H.R. Kunsch Recursive Monte Carlo filters: algorithms and theoretical analysis Annals of Statistics 33 5 2005 1983 2001
19. A. Doucet, N. De Freitas, and N. Gordon Sequential Monte Carlo Methods in Practice 2001 Springer New York
20. J. Hull, and A. White The pricing of options on assets with stochastic volatilities The Journal of Finance 42 2 1987 281 300
21. Y. Zheng Estimating stochastic volatility via filtering for the micromovements of asset prices IEEE Transactions on Automatic Control 49 3 2004 338 348
22. H. Chen, Estimating stochastic volatility using particle filters, M.Sc. Thesis, Case Western Reserve University, 2009.
23. S. Kim, N. Shepherd, and S. Chib Stochastic volatility: likelihood inference and comparison with ARCH mModels The Review of Economic Studies 65 3 1998 361 393 (Pubitemid 128505119)
24. E. Ghysels, A.C. Harvey, and E. Renault Stochastic volatility C.R. Rao, G.S. Maddala, Statistical Methods in Finance 1996 North-Holland Amsterdam 119 191
25. W. Chen, Bayesian estimation by sequential Monte Carlo sampling, Ph.D. Thesis, Ohio State University, 2004.
26. M.B. Beck Identification, estimation, and control of biological waste-water treatment processes IEE Proceedings D, Control Theory and Applications 133 5 1986 254 264 (Pubitemid 17459176)
27. K.J. Keesman State and parameter estimation in biotechnical batch reactors Control Engineering Practice 10 2002 212 225
28. K.V. Gernaey, M.C.M. van Loosdrecht, M. Henze, M. Lind, and S.B. Jorgensen Activated sludge waste-water treatment plant modeling and simulation: state of the art Environmental Modelling and Software 19 2004 763 783 (Pubitemid 38722586)
29. K.J. Keesman, H. Spanjers, and G. van Straten Analysis of endogenous process behavior in activated sludge Biotechnology and Bioengineering 57 2 2000 155 163
30. P.J. Costa Adaptive model architecture and extended KalmanBucy filters IEEE Transactions on Aerospace and Electronic Systems 30 1994 525 533
31. S.J. Julier, and J.K. Uhlmann Corrections to unscented filtering and nonlinear estimation Proceedings of the IEEE 92 2004 19581958
32. S. Sarkka On unscented Kalman filtering for state estimation of continuous-time nonlinear systems IEEE Transactions on Automatic Control 52 9 2007 1631 1640