Data Filtering Based Maximum Likelihood Gradient Method for Multivariable Nonlinear Systems

2020 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc49329.2020.9164205 ◽

2020 ◽

Author(s):

Feiyan Chen ◽

Kai Ji

Keyword(s):

Maximum Likelihood ◽

Nonlinear Systems ◽

Gradient Method ◽

Data Filtering ◽

Multivariable Nonlinear Systems

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Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.02.025 ◽

2018 ◽

Vol 355 (7) ◽

pp. 3381-3398 ◽

Author(s):

Feiyan Chen ◽

Feng Ding ◽

Ling Xu ◽

Tasawar Hayat

Keyword(s):

Maximum Likelihood ◽

Gradient Method ◽

Moving Average ◽

Autoregressive Moving Average ◽

Multivariable Systems ◽

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Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5086 ◽

2020 ◽

Vol 30 (14) ◽

pp. 5446-5463 ◽

Author(s):

Huafeng Xia ◽

Yan Ji ◽

Ling Xu ◽

Ahmed Alsaedi ◽

Tasawar Hayat

Keyword(s):

Maximum Likelihood ◽

Nonlinear Systems ◽

Gradient Estimation ◽

Identification Theory ◽

Multivariable Nonlinear Systems

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Hierarchical Maximum Likelihood Stochastic Gradient Identification Algorithm for Feedback Nonlinear Systems Using the Data Filtering Technique

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8484045 ◽

2018 ◽

Author(s):

Junhong Li ◽

Xiao Li ◽

Juping Gu ◽

Yi Yang

Keyword(s):

Maximum Likelihood ◽

Nonlinear Systems ◽

Stochastic Gradient ◽

Identification Algorithm ◽

Data Filtering ◽

Filtering Technique

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Data filtering based maximum likelihood forgetting factor stochastic gradient parameter estimation algorithm for feedback nonlinear systems with colored noise

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8244086 ◽

2017 ◽

Author(s):

Junhong Li ◽

Xiao Li ◽

Jiali Zhang

Keyword(s):

Parameter Estimation ◽

Maximum Likelihood ◽

Nonlinear Systems ◽

Colored Noise ◽

Estimation Algorithm ◽

Stochastic Gradient ◽

Data Filtering ◽

Forgetting Factor ◽

Parameter Estimation Algorithm ◽

Gradient Parameter

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Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle

Mathematics and Computers in Simulation ◽

10.1016/j.matcom.2016.06.006 ◽

2017 ◽

Vol 132 ◽

pp. 53-67 ◽

Author(s):

Feiyan Chen ◽

Feng Ding ◽

Ahmed Alsaedi ◽

Tasawar Hayat

Keyword(s):

Maximum Likelihood ◽

Gradient Method ◽

Moving Average ◽

Autoregressive Moving Average ◽

Data Filtering ◽

Likelihood Principle ◽

Maximum Likelihood Principle

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Adaptive Fuzzy Control for Multivariable Nonlinear Systems with Indefinite Control Gain Matrix and Unknown Control Direction

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2232 ◽

2020 ◽

Vol 53 (2) ◽

pp. 8019-8024

Author(s):

Salim Labiod ◽

Thierry Marie Guerra

Keyword(s):

Nonlinear Systems ◽

Fuzzy Control ◽

Adaptive Fuzzy Control ◽

Gain Matrix ◽

Adaptive Fuzzy ◽

Control Gain ◽

Unknown Control ◽

Unknown Control Direction ◽

Control Direction ◽

Multivariable Nonlinear Systems

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Time domain stability concepts for multivariable nonlinear systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.1985.1103902 ◽

1985 ◽

Vol 30 (2) ◽

pp. 153-155 ◽

Author(s):

J. Gray ◽

D. Valsamis

Keyword(s):

Nonlinear Systems ◽

Time Domain ◽

Multivariable Nonlinear Systems ◽

Stability Concepts ◽

Domain Stability

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Functional reproducibility of multivariable nonlinear systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.1982.1102844 ◽

1982 ◽

Vol 27 (1) ◽

pp. 270-272 ◽

Author(s):

S. Singh

Keyword(s):

Nonlinear Systems ◽

Multivariable Nonlinear Systems

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Eigenvalue assignment enabled control law for multivariable nonlinear systems with mismatched uncertainties

European Journal of Control ◽

10.1016/j.ejcon.2020.03.002 ◽

2020 ◽

Vol 56 ◽

pp. 154-166 ◽

Author(s):

Tong Ma

Keyword(s):

Nonlinear Systems ◽

Control Law ◽

Mismatched Uncertainties ◽

Multivariable Nonlinear Systems ◽

Eigenvalue Assignment

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Filtering adaptive output feedback control for multivariable nonlinear systems with mismatched uncertainties and unmodeled dynamics

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5212 ◽

2020 ◽

Vol 30 (18) ◽

pp. 8007-8028 ◽

Author(s):

Tong Ma

Keyword(s):

Feedback Control ◽

Nonlinear Systems ◽

Output Feedback ◽

Output Feedback Control ◽

Unmodeled Dynamics ◽

Adaptive Output Feedback Control ◽

Mismatched Uncertainties ◽

Multivariable Nonlinear Systems

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