Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates

Circuits Systems and Signal Processing ◽

10.1007/s00034-014-9911-5 ◽

2014 ◽

Vol 34 (5) ◽

pp. 1697-1709 ◽

Author(s):

Xingyun Ma ◽

Feng Ding

Keyword(s):

Parameter Identification ◽

State Space ◽

Space Systems ◽

Canonical State ◽

Gradient Based ◽

State Space Systems

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Filtering based parameter estimation for observer canonical state space systems with colored noise

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.10.032 ◽

2017 ◽

Vol 354 (1) ◽

pp. 593-609 ◽

Author(s):

Xuehai Wang ◽

Feng Ding ◽

Ahmed Alsaedi ◽

Tasawar Hayat

Keyword(s):

Parameter Estimation ◽

State Space ◽

Colored Noise ◽

Space Systems ◽

Canonical State ◽

State Space Systems

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Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2016.01.042 ◽

2016 ◽

Vol 301 ◽

pp. 135-143 ◽

Author(s):

Feng Ding ◽

Ximei Liu ◽

Xingyun Ma

Keyword(s):

Parameter Estimation ◽

Least Squares ◽

State Space ◽

Space Systems ◽

Canonical State ◽

State Space Systems

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Recursive parameter identification of the dynamical models for bilinear state space systems

Nonlinear Dynamics ◽

10.1007/s11071-017-3594-y ◽

2017 ◽

Vol 89 (4) ◽

pp. 2415-2429 ◽

Author(s):

Xiao Zhang ◽

Feng Ding ◽

Fuad E. Alsaadi ◽

Tasawar Hayat

Keyword(s):

Parameter Identification ◽

State Space ◽

Space Systems ◽

Dynamical Models ◽

State Space Systems

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Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.12.031 ◽

2019 ◽

Vol 356 (10) ◽

pp. 5485-5502 ◽

Author(s):

Ting Cui ◽

Feng Ding ◽

Xiangli Li ◽

Tasawar Hayat

Keyword(s):

State Space ◽

Kalman Filtering ◽

Moving Average ◽

Space Systems ◽

Gradient Estimation ◽

Estimation Algorithms ◽

Canonical State ◽

State Space Systems

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Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique

Mathematical and Computer Modelling of Dynamical Systems ◽

10.1080/13873954.2016.1142455 ◽

2016 ◽

Vol 22 (2) ◽

pp. 113-140 ◽

Author(s):

Xuehai Wang ◽

Feng Ding

Keyword(s):

Parameter Identification ◽

State Space ◽

Space Systems ◽

State Space Systems ◽

Filtering Technique ◽

Nonlinear State

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Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2014.10.024 ◽

2015 ◽

Vol 352 (1) ◽

pp. 248-258 ◽

Author(s):

Xingyun Ma ◽

Feng Ding

Keyword(s):

Parameter Estimation ◽

Least Squares ◽

State Space ◽

Space Systems ◽

Estimation Algorithms ◽

Canonical State ◽

State Space Systems

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Extended Gradient-based Iterative Algorithm for Bilinear State-space Systems with Moving Average Noises by Using the Filtering Technique

International Journal of Control Automation and Systems ◽

10.1007/s12555-019-0831-9 ◽

2021 ◽

Author(s):

Siyu Liu ◽

Yanliang Zhang ◽

Ling Xu ◽

Feng Ding ◽

Ahmed Alsaedi ◽

...

Keyword(s):

State Space ◽

Iterative Algorithm ◽

Moving Average ◽

Space Systems ◽

Gradient Based ◽

State Space Systems ◽

Filtering Technique

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Model reduction of state space systems via EN updating scheme

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082181 ◽

1997 ◽

Author(s):

Marko Huhtanen

Keyword(s):

Model Reduction ◽

State Space ◽

Space Systems ◽

State Space Systems

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Practical output regulation for bounded linear infinite-dimensional state space systems

10.1016/j.automatica.2006.11.009 ◽

2007 ◽

Vol 43 (5) ◽

pp. 786-794 ◽

Author(s):

Eero Immonen

Keyword(s):

State Space ◽

Output Regulation ◽

Space Systems ◽

Bounded Linear ◽

Infinite Dimensional ◽

Dimensional State Space ◽

State Space Systems

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Bilinear state space systems for nonlinear dynamical modelling

Theory in Biosciences ◽

10.1007/s12064-000-0001-9 ◽

2000 ◽

Vol 119 (1) ◽

pp. 1-9 ◽

Author(s):

Vincent Verdult ◽

Michel Verhaegen

Keyword(s):

State Space ◽

Space Systems ◽

Nonlinear Dynamical ◽

State Space Systems ◽

Dynamical Modelling

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