Adaptive recursive M-robust system parameter identification using the QQ-plot approach

IET Control Theory and Applications ◽

10.1049/iet-cta.2009.0647 ◽

2011 ◽

Vol 5 (4) ◽

pp. 579-593 ◽

Author(s):

G.S. Kvascev ◽

Z.M. Djurovic ◽

B.D. Kovacevic

Keyword(s):

Parameter Identification ◽

System Parameter ◽

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Robust system-parameter identification: The influence functional approach

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.4590020305 ◽

1992 ◽

Vol 2 (3) ◽

pp. 223-237 ◽

Author(s):

Michael S. Asato ◽

H. Vincent Poor

Keyword(s):

Parameter Identification ◽

System Parameter ◽

Functional Approach ◽

Influence Functional ◽

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Variational inference -based EM for quantized FIR system parameter identification

2018 IEEE 14th International Conference on Control and Automation (ICCA) ◽

10.1109/icca.2018.8444211 ◽

2018 ◽

Author(s):

Xiaoxu Wang ◽

Chaofeng Li ◽

Jun Zhang ◽

Qianyun Zhang ◽

Jinwen Hu

Keyword(s):

Parameter Identification ◽

System Parameter ◽

Variational Inference ◽

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System Parameter Identification of Thermal Generation Unit in the Mongolian Electrical Grid: Real-Life Frequency Response Test

10.1109/isgtlatinamerica52371.2021.9542996 ◽

2021 ◽

Author(s):

Choidorj Adiyabazar ◽

F. Gonzalez-Longatt ◽

Martha N. Acosta ◽

Jose Luis Rueda ◽

Erkhemzaya Bolor

Keyword(s):

Parameter Identification ◽

Frequency Response ◽

System Parameter ◽

Real Life ◽

Thermal Generation ◽

Electrical Grid ◽

Response Test ◽

Generation Unit

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Modified extended Kalman filtering and a real-time parallel algorithm for system parameter identification

IEEE Transactions on Automatic Control ◽

10.1109/9.45155 ◽

1990 ◽

Vol 35 (1) ◽

pp. 100-104 ◽

Author(s):

C.K. Chui ◽

G. Chen ◽

H.C. Chui

Keyword(s):

Parameter Identification ◽

Parallel Algorithm ◽

Real Time ◽

Kalman Filtering ◽

System Parameter ◽

Extended Kalman Filtering

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Induction Power Transmission System Parameter Identification and Constant Current Control

International Journal of Smart Home ◽

10.14257/ijsh.2014.8.6.06 ◽

2014 ◽

Vol 8 (6) ◽

pp. 57-64

Author(s):

Wei Wei ◽

Xue Peng

Keyword(s):

Parameter Identification ◽

System Parameter ◽

Power Transmission ◽

Transmission System ◽

Current Control ◽

Constant Current ◽

Power Transmission System

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Torsional system parameter identification of turbine-generator sets

IEEE Transactions on Energy Conversion ◽

10.1109/60.638865 ◽

1997 ◽

Vol 12 (4) ◽

pp. 304-309 ◽

Author(s):

M.D. Brown ◽

C. Grande-Moran

Keyword(s):

Parameter Identification ◽

System Parameter ◽

Turbine Generator ◽

Torsional System ◽

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Use of an Implicit Filtering Algorithm for Mechanical System Parameter Identification

10.4271/960358 ◽

1996 ◽

Author(s):

J. W. David ◽

C. T. Kelley ◽

C. Y. Cheng

Keyword(s):

Parameter Identification ◽

Mechanical System ◽

System Parameter ◽

Implicit Filtering ◽

Filtering Algorithm

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Nonlinear system parameter identification - A modified Kalman filter algorithm

10.1109/ace.1990.762650 ◽

2005 ◽

Author(s):

S.K. Sinha ◽

T. Nagraja

Keyword(s):

Kalman Filter ◽

Nonlinear System ◽

Parameter Identification ◽

System Parameter ◽

Modified Kalman Filter ◽

Kalman Filter Algorithm

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The Distributed System Parameter Identification Problem: A Survey of Recent Results

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)62252-3 ◽

1983 ◽

Vol 16 (10) ◽

pp. 45-58

Author(s):

M.P. Polis

Keyword(s):

Parameter Identification ◽

Distributed System ◽

System Parameter ◽

Identification Problem ◽

Parameter Identification Problem

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Recent Development in France of Stochastic Filtering and Its Application to Identification

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.3426839 ◽

1974 ◽

Vol 96 (4) ◽

pp. 421-425 ◽

Author(s):

J. A. Martin ◽

Ph. de Larminat

Keyword(s):

Parameter Identification ◽

Nonlinear Filtering ◽

System Parameter ◽

Theory And Practice ◽

Linear Filtering ◽

Stochastic Filtering ◽

Noise Characteristics

The objective of this paper is to describe some typical contributions to theory and practice on stochastic filtering and identification in France. Attention is focused on the problems related to the noise characteristics in linear filtering, and the application of nonlinear filtering to system parameter identification.

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