Novel particle filtering algorithms for fixed parameter estimation in dynamic systems

ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005. ◽

10.1109/ispa.2005.195382 ◽

2005 ◽

Author(s):

J. Miguez ◽

M.F. Bugallo ◽

P.M. Djuric

Keyword(s):

Parameter Estimation ◽

Dynamic Systems ◽

Particle Filtering ◽

Filtering Algorithms ◽

Fixed Parameter

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On-line fault diagnosis of dynamic systems via robust parameter estimation

Control Engineering Practice ◽

10.1016/0967-0661(95)00183-u ◽

1995 ◽

Vol 3 (12) ◽

pp. 1709-1717 ◽

Author(s):

G. Bloch ◽

M. Ouladsine ◽

P. thomas

Keyword(s):

Parameter Estimation ◽

Fault Diagnosis ◽

Dynamic Systems ◽

On Line ◽

Robust Parameter ◽

Robust Parameter Estimation

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Joint state and parameter estimation in particle filtering and stochastic optimization

Journal of Control Theory and Applications ◽

10.1007/s11768-008-6078-2 ◽

2008 ◽

Vol 6 (2) ◽

pp. 215-220 ◽

Author(s):

Xiaojun Yang ◽

Keyi Xing ◽

Kunlin Shi ◽

Quan Pan

Keyword(s):

Parameter Estimation ◽

Stochastic Optimization ◽

Particle Filtering ◽

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Successive parameter estimation of continuous dynamic systems

International Journal of Systems Science ◽

10.1080/00207728808547151 ◽

1988 ◽

Vol 19 (7) ◽

pp. 1149-1158 ◽

Author(s):

CHING-TIEN LIOU ◽

YI-SHYONG CHOU

Keyword(s):

Parameter Estimation ◽

Dynamic Systems ◽

Continuous Dynamic

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Multi-output parameter estimation of dynamic systems by output shapes

International Journal of Systems Science ◽

10.1080/00207721.2014.943822 ◽

2014 ◽

Vol 46 (1) ◽

pp. 44-62 ◽

Author(s):

Jeffrey C. Simmons ◽

Kourosh Danai

Keyword(s):

Parameter Estimation ◽

Dynamic Systems ◽

Output Parameter

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Particle filtering-based Maximum Likelihood Estimation for financial parameter estimation

2014 24th International Conference on Field Programmable Logic and Applications (FPL) ◽

10.1109/fpl.2014.6927411 ◽

2014 ◽

Author(s):

Jinzhe Yang ◽

Binghuan Lin ◽

Wayne Luk ◽

Terence Nahar

Keyword(s):

Parameter Estimation ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Particle Filtering ◽

Likelihood Estimation

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Extension Particle Filtering algorithm for state and parameter estimation in dynamic control process

2009 Chinese Control and Decision Conference ◽

10.1109/ccdc.2009.5192156 ◽

2009 ◽

Author(s):

Xian-zhong Gao ◽

Zhong-xi Hou ◽

Bo-tao Ren

Keyword(s):

Parameter Estimation ◽

Particle Filtering ◽

Dynamic Control ◽

Control Process ◽

Filtering Algorithm

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Actuator and sensor fault diagnosis of nonlinear dynamic systems via genetic neural networks and adaptive parameter estimation technique

Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104) ◽

10.1109/cca.1998.728424 ◽

2002 ◽

Author(s):

M. Borairi ◽

H. Wang

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Fault Diagnosis ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Estimation Technique ◽

Sensor Fault ◽

Adaptive Parameter

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Dynamic modelling and control of industrial processes with particle filtering algorithms

Computer Aided Chemical Engineering - European Symposium on Computer-Aided Process Engineering-14, 37th European Symposium of the Working Party on Computer-Aided Process Engineering ◽

10.1016/s1570-7946(04)80186-x ◽

2004 ◽

pp. 721-726 ◽

Author(s):

Rubén Morales-Menéndez ◽

Nando de Freitas ◽

David Poole ◽

Jim Mutch ◽

Federico Guedea-Elizalde

Keyword(s):

Particle Filtering ◽

Dynamic Modelling ◽

Industrial Processes ◽

Filtering Algorithms ◽

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Experimental comparison of particle filtering algorithms for acoustic source localization in a reverberant room

2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684) ◽

10.1109/aspaa.2003.1285841 ◽

2004 ◽

Author(s):

E.A. Lehmann ◽

R.C. Williamson

Keyword(s):

Source Localization ◽

Particle Filtering ◽

Experimental Comparison ◽

Acoustic Source ◽

Filtering Algorithms ◽

Acoustic Source Localization

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State and parameter estimation for dynamic systems with colored noise: an accuracy approach based on the minimum discrepancy measure

IEEE Transactions on Automatic Control ◽

10.1109/9.85061 ◽

1991 ◽

Vol 36 (7) ◽

pp. 813-823 ◽

Author(s):

Rong-Ming Chen ◽

Shyang Chang

Keyword(s):

Parameter Estimation ◽

Dynamic Systems ◽

Colored Noise ◽

Discrepancy Measure ◽

Minimum Discrepancy

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