Synthesis of run-to-run repetitive control methods using finite impulse response models

Journal of Process Control ◽

10.1016/j.jprocont.2008.03.001 ◽

2009 ◽

Vol 19 (2) ◽

pp. 364-369 ◽

Author(s):

Kwang Soon Lee ◽

Wangyun Won ◽

Jay H. Lee

Keyword(s):

Impulse Response ◽

Finite Impulse Response ◽

Repetitive Control ◽

Control Methods ◽

Response Models

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Identification of finite impulse response models with continuum regression

Journal of Chemometrics ◽

10.1002/cem.1180070102 ◽

1993 ◽

Vol 7 (1) ◽

pp. 1-14 ◽

Author(s):

B. M. Wise ◽

N. L. Ricker

Keyword(s):

Impulse Response ◽

Finite Impulse Response ◽

Response Models ◽

Continuum Regression

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Identification of dual-rate systems based on finite impulse response models

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.942 ◽

2004 ◽

Author(s):

Feng Ding ◽

Tongwen Chen

Keyword(s):

Impulse Response ◽

Finite Impulse Response ◽

Response Models

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Identification of Finite Impulse Response Models: Methods and Robustness Issues

Industrial & Engineering Chemistry Research ◽

10.1021/ie960180e ◽

1996 ◽

Vol 35 (11) ◽

pp. 4078-4090 ◽

Author(s):

Bhupinder S. Dayal ◽

John F. MacGregor

Keyword(s):

Impulse Response ◽

Finite Impulse Response ◽

Response Models

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Moving Horizon Estimation based on finite impulse response models

2009 European Control Conference (ECC) ◽

10.23919/ecc.2009.7074838 ◽

2009 ◽

Author(s):

Guru Prasath ◽

John Bagterp Jorgensen

Keyword(s):

Impulse Response ◽

Finite Impulse Response ◽

Moving Horizon Estimation ◽

Response Models

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Head Related Transfer Function Interpolation Based on Finite Impulse Response Models

2019 Seventh International Conference on Digital Information Processing and Communications (ICDIPC) ◽

10.1109/icdipc.2019.8723710 ◽

2019 ◽

Author(s):

Bahaa Al-Sheikh ◽

Mohammad A. Matin ◽

Daniel J. Tollin

Keyword(s):

Transfer Function ◽

Impulse Response ◽

Finite Impulse Response ◽

Response Models ◽

Head Related Transfer Function

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Local model network with regularized MISO finite impulse response models

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2016.7737660 ◽

2016 ◽

Author(s):

Tobias Munker ◽

Oliver Nelles

Keyword(s):

Impulse Response ◽

Finite Impulse Response ◽

Local Model ◽

Response Models ◽

Model Network ◽

Local Model Network

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Finite impulse response models: A non-asymptotic analysis of the least squares estimator

Bernoulli ◽

10.3150/20-bej1262 ◽

2021 ◽

Vol 27 (2) ◽

Author(s):

Boualem Djehiche ◽

Othmane Mazhar ◽

Cristian R. Rojas

Keyword(s):

Asymptotic Analysis ◽

Least Squares ◽

Impulse Response ◽

Finite Impulse Response ◽

Least Squares Estimator ◽

Response Models

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Fouling Detection in Industrial Heat Exchanger Using Number of Transfer Units Method, Neural Network, and Nonlinear Finite Impulse Response Models

Heat Transfer Engineering ◽

10.1080/01457632.2021.2016149 ◽

2021 ◽

pp. 1-16

Author(s):

Željka Ujević Andrijić ◽

Nenad Bolf ◽

Nikola Rimac ◽

Adriana Brzović

Keyword(s):

Neural Network ◽

Heat Exchanger ◽

Impulse Response ◽

Finite Impulse Response ◽

Response Models

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Model predictive control based on finite impulse response models

2008 American Control Conference ◽

10.1109/acc.2008.4586531 ◽

2008 ◽

Author(s):

Guru Prasath ◽

John Bagterp Jorgensen

Keyword(s):

Model Predictive Control ◽

Impulse Response ◽

Predictive Control ◽

Finite Impulse Response ◽

Response Models

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Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes

Applied Soft Computing ◽

10.1016/j.asoc.2019.105806 ◽

2019 ◽

Vol 85 ◽

pp. 105806

Author(s):

Xiaolong Chen ◽

Zhizhong Mao ◽

Runda Jia ◽

Shuning Zhang

Keyword(s):

Impulse Response ◽

Nonlinear Dynamic ◽

Finite Impulse Response ◽

Soft Sensor ◽

Industrial Processes ◽

Response Models ◽

Sensor Application

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