Condition assessment and dynamic system identification of a historic suspension footbridge

Structural Control and Health Monitoring ◽

10.1002/stc.251 ◽

2008 ◽

Vol 15 (3) ◽

pp. 369-388 ◽

Author(s):

C. Gentile ◽

N. Gallino

Keyword(s):

System Identification ◽

Dynamic System ◽

Condition Assessment

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Dynamic System Identification of Underwater Vehicles Using Multi-Output Gaussian Processes

International Journal of Automation and Computing ◽

10.1007/s11633-021-1308-x ◽

2021 ◽

Author(s):

Wilmer Ariza Ramirez ◽

Juš Kocijan ◽

Zhi Quan Leong ◽

Hung Duc Nguyen ◽

Shantha Gamini Jayasinghe

Keyword(s):

System Identification ◽

Dynamic System ◽

Gaussian Processes ◽

Underwater Vehicles

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Recurrent wavelet-based neuro fuzzy networks for dynamic system identification

Mathematical and Computer Modelling ◽

10.1016/j.mcm.2004.05.004 ◽

2005 ◽

Vol 41 (2-3) ◽

pp. 226-239 ◽

Author(s):

Cheng-Jian Lin ◽

Cheng-Chung Chin

Keyword(s):

System Identification ◽

Dynamic System ◽

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Non-linear Dynamic System Identification Using FLLWNN with Novel Learning Method

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-03756-1_30 ◽

2013 ◽

pp. 332-341 ◽

Author(s):

Mihir Narayan Mohanty ◽

Badrinarayan Sahu ◽

Prasanta Kumar Nayak ◽

Laxmi Prasad Mishra

Keyword(s):

System Identification ◽

Dynamic System ◽

Linear Dynamic System ◽

Learning Method ◽

Linear Dynamic ◽

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Application of the Extended Kalman Filter—WGI Method in Dynamic System Identification

Stochastic Structural Dynamics ◽

10.1201/9781003076582-7 ◽

2020 ◽

pp. 103-124

Author(s):

Masaru Hoshiya

Keyword(s):

Kalman Filter ◽

System Identification ◽

Dynamic System ◽

Extended Kalman Filter

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Continuous-Time Nonlinear Block-Oriented Dynamic System Identification from Sampled Step and Step-Like Responses

2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR) ◽

10.1109/mmar.2018.8486118 ◽

2018 ◽

Author(s):

Jaroslaw Figwer

Keyword(s):

System Identification ◽

Dynamic System ◽

Continuous Time

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Nonlinear dynamic system identification using pipelined functional link artificial recurrent neural network

Neurocomputing ◽

10.1016/j.neucom.2009.04.001 ◽

2009 ◽

Vol 72 (13-15) ◽

pp. 3046-3054 ◽

Author(s):

Haiquan Zhao ◽

Jiashu Zhang

Keyword(s):

Neural Network ◽

System Identification ◽

Dynamic System ◽

Recurrent Neural Network ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

Functional Link

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Chebyschev functional link artificial neural networks for nonlinear dynamic system identification

SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166) ◽

10.1109/icsmc.2000.884395 ◽

2002 ◽

Author(s):

J.C. Patra ◽

A.C. Kot ◽

Yan Qiu Chen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

System Identification ◽

Dynamic System ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

Functional Link ◽

Artificial Neural

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Neuro-fuzzy modeling for nonlinear dynamic system identification

Handbook of Fuzzy Computation ◽

10.1887/0750304278/b438c93 ◽

2004 ◽

Author(s):

Roger Jang Jyh-Shing

Keyword(s):

System Identification ◽

Dynamic System ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

Fuzzy Modeling ◽

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Performance Comparison of Variants of Hybrid FLANN-DE for Intelligent Nonlinear Dynamic System Identification

Advances in Intelligent Systems and Computing - Progress in Advanced Computing and Intelligent Engineering ◽

10.1007/978-981-15-6584-7_14 ◽

2020 ◽

pp. 137-147

Author(s):

Swati Swayamsiddha

Keyword(s):

System Identification ◽

Dynamic System ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

Performance Comparison

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The Problem of Dynamic System Identification

Discrete Linear Control Systems ◽

10.1007/978-94-011-3248-0_5 ◽

1991 ◽

pp. 169-220

Author(s):

V. N. Fomin

Keyword(s):

System Identification ◽

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