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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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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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 of quadrotor based on extended Kalman filter and complementary filter

2016 17th International Carpathian Control Conference (ICCC) ◽

10.1109/carpathiancc.2016.7501108 ◽

2016 ◽

Author(s):

Wojciech Janusz ◽

Michal Niezabitowski

Keyword(s):

Parameter Estimation ◽

Kalman Filter ◽

Extended Kalman Filter ◽

Complementary Filter ◽

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Joint state and parameter estimation for a target-directed nonlinear dynamic system model

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2003.819013 ◽

2003 ◽

Vol 51 (12) ◽

pp. 3061-3070 ◽

Author(s):

R. Togneri ◽

Li Deng

Keyword(s):

Parameter Estimation ◽

Dynamic System ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

System Model ◽

Dynamic System Model ◽

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Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model

2014 European Control Conference (ECC) ◽

10.1109/ecc.2014.6862585 ◽

2014 ◽

Author(s):

Chadia Zayane-Aissa ◽

Da-Yan Liu ◽

Taous-Meriem Laleg-Kirati

Keyword(s):

Parameter Estimation ◽

Cascade Systems ◽

Hemodynamic Model ◽

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Online Noise Identification for Joint State and Parameter Estimation of Nonlinear Systems

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering ◽

10.1061/ajrua6.0000839 ◽

2016 ◽

Vol 2 (3) ◽

Author(s):

Thaleia Kontoroupi ◽

Andrew W. Smyth

Keyword(s):

Parameter Estimation ◽

Nonlinear Systems ◽

Noise Identification ◽

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Joint state and parameter estimation of the hemodynamic model by particle smoother expectation maximization method

Journal of Neural Engineering ◽

10.1088/1741-2560/13/4/046010 ◽

2016 ◽

Vol 13 (4) ◽

pp. 046010 ◽

Author(s):

Serdar Aslan ◽

Ali Taylan Cemgil ◽

Ata Akın

Keyword(s):

Parameter Estimation ◽

Expectation Maximization ◽

Hemodynamic Model ◽

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