Joint State and Parameter Estimation in Particle Filtering and Stochastic Optimization

Stochastic Optimization - Seeing the Optimal for the Uncertain ◽

10.5772/14658 ◽

2011 ◽

Author(s):

Xiaojun Yang ◽

Keyi Xing

Keyword(s):

Parameter Estimation ◽

Stochastic Optimization ◽

Particle Filtering ◽

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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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Joint state and parameter estimation of non-linearly parameterized discrete-time nonlinear systems

10.1016/j.automatica.2018.06.027 ◽

2018 ◽

Vol 97 ◽

pp. 226-233 ◽

Author(s):

Salim Ibrir

Keyword(s):

Parameter Estimation ◽

Nonlinear Systems ◽

Discrete Time ◽

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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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Joint state and parameter estimation for distributed mechanical systems

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2007.08.021 ◽

2008 ◽

Vol 197 (6-8) ◽

pp. 659-677 ◽

Author(s):

Philippe Moireau ◽

Dominique Chapelle ◽

Patrick Le Tallec

Keyword(s):

Parameter Estimation ◽

Mechanical Systems ◽

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Joint State and Parameter Estimation for a Robot Hydraulic Actuator

Lecture Notes in Electrical Engineering - Proceedings of 2013 Chinese Intelligent Automation Conference ◽

10.1007/978-3-642-38524-7_83 ◽

2013 ◽

pp. 753-760

Author(s):

Guangbin Sun ◽

Hong Wang

Keyword(s):

Parameter Estimation ◽

Hydraulic Actuator ◽

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Joint state-parameter estimation for active vehicle suspensions: A Takagi-Sugeno Kalman filtering approach

2015 54th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2015.7402430 ◽

2015 ◽

Author(s):

Nils Pletschen ◽

Stefan Barthelmes ◽

Boris Lohmann

Keyword(s):

Parameter Estimation ◽

Kalman Filtering ◽

State Parameter ◽

Vehicle Suspensions ◽

Takagi Sugeno ◽

Filtering Approach ◽

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Joint state and parameter estimation for hidden wide-sense stationary ARMA processes under unknown noise

2017 20th International Conference on Information Fusion (Fusion) ◽

10.23919/icif.2017.8009792 ◽

2017 ◽

Author(s):

Shuhui Li ◽

Xiaoxue Feng ◽

Feng Pan

Keyword(s):

Parameter Estimation ◽

Arma Processes ◽

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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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Iterative convolution particle filtering for nonlinear parameter estimation and data assimilation with application to crop yield prediction

2013 Proceedings of the Conference on Control and its Applications ◽

10.1137/1.9781611973273.10 ◽

2013 ◽

pp. 67-74

Author(s):

Yuting Chen ◽

Samis Trevezas ◽

Paul-Henry Cournede

Keyword(s):

Parameter Estimation ◽

Data Assimilation ◽

Particle Filtering ◽

Nonlinear Parameter ◽

Yield Prediction ◽

Nonlinear Parameter Estimation

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