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International Journal of Control Volume 51, 1990 - Issue 6
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Original Articles

Non-linear system identification using neural networks

S. CHEN Department of Electrical Engineering, University of Edinburgh, Mayfield Road, Edinburgh, EH9 3JL, Scotland, U.K
,
S. A. BILLINGS Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield, SI 3JD, England, U.K
&
P. M. GRANT Department of Electrical Engineering, University of Edinburgh, Mayfield Road, Edinburgh, EH9 3JL, Scotland, U.K
Pages 1191-1214 | Received 28 Aug 1989, Published online: 27 Mar 2007

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Pin Wu, Siquan Gong, Kaikai Pan, Feng Qiu, Weibing Feng & Christopher Pain. (2021) Reduced order model using convolutional auto-encoder with self-attention. Physics of Fluids 33:7, pages 077107.
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Fujin Jia, Junwei Lu & Yongmin Li. (2021) Output regulation problem of a class of pure-feedback nonlinear systems via adaptive neural control. Journal of the Franklin Institute 358:11, pages 5659-5675.
Crossref
Hwanmoo Yong, Joohwan Seo, Jungkyu Kim & Jongeun Choi. (2021) State reconstruction in a nonlinear vehicle suspension system using deep neural networks. Nonlinear Dynamics 105:1, pages 439-455.
Crossref
Jozef Polacek & Jakub Hnidka. (2021) Aircraft Identification: Initial Study. Aircraft Identification: Initial Study.
Héber H. Arcolezi, Willian R.B.M. Nunes, Rafael A. de Araujo, Selene Cerna, Marcelo A.A. Sanches, Marcelo C.M. Teixeira & Aparecido A. de Carvalho. (2021) RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation. Engineering Applications of Artificial Intelligence 102, pages 104294.
Crossref
Leandro Freitas, Bruno H.G. Barbosa & Luis A. Aguirre. (2021) Including steady-state information in nonlinear models: An application to the development of soft-sensors. Engineering Applications of Artificial Intelligence 102, pages 104253.
Crossref
Kyle A. Scalise & Karoly (Charles) Kocsis. (2021) Utilizing Nonlinear Autoregressive with Exogenous Input Neural Networks to Evaluate the Thermal Flywheel Effect Along Intake Shafts at Nevada Mines. Mining, Metallurgy & Exploration 38:3, pages 1395-1410.
Crossref
Roberta Simeoli, Nicola Milano, Angelo Rega & Davide Marocco. (2021) Using Technology to Identify Children With Autism Through Motor Abnormalities. Frontiers in Psychology 12.
Crossref
Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona & Draguna Vrabie. (2021) Constrained Block Nonlinear Neural Dynamical Models. Constrained Block Nonlinear Neural Dynamical Models.
Marco Forgione & Dario Piga. (2021) Continuous-time system identification with neural networks: Model structures and fitting criteria. European Journal of Control 59, pages 69-81.
Crossref
Carter Rhea, Laurie Rousseau-Nepton, Simon Prunet, Myriam Prasow-Émond, Julie Hlavacek-Larrondo, Natalia Vale Asari, Kathryn Grasha & Laurence Perreault-Levasseur. (2021) A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. II. H ii Region Line Ratios. The Astrophysical Journal 910:2, pages 129.
Crossref
Long Zhang, Yuan Xue, Qing Xie & Zhuyin Ren. (2021) Analysis and neural network prediction of combustion stability for industrial gases. Fuel 287, pages 119507.
Crossref
Jae-Min Jung, Heung-Sik Lee, Jong-Ho Lee, Sunghoon Jung & Wang-Hee Lee. (2021) Development of a predictive model for soil temperature and its application to species distribution modeling of ant species in South Korea. Ecological Informatics 61, pages 101220.
Crossref
Natasha Dropka, Stefan Ecklebe & Martin Holena. (2021) Real Time Predictions of VGF-GaAs Growth Dynamics by LSTM Neural Networks. Crystals 11:2, pages 138.
Crossref
Oscar Cartagena, Sebastian Parra, Diego Munoz-Carpintero, Luis G. Marin & Doris Saez. (2021) Review on Fuzzy and Neural Prediction Interval Modelling for Nonlinear Dynamical Systems. IEEE Access 9, pages 23357-23384.
Crossref
Yifeng Liang, Jiangning Xu, Fangneng Li & Pengfei Jiang. (2021) Nonlinear Autoregressive Model With Exogenous Input Recurrent Neural Network to Predict Satellites’ Clock Bias. IEEE Access 9, pages 24416-24424.
Crossref
Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan & Hongfang Liu. (2021) An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. Journal of Biomedical Informatics 113, pages 103660.
Crossref
Daniel Weber & Clemens Gühmann. (2021) Non-Autoregressive vs Autoregressive Neural Networks for System Identification. IFAC-PapersOnLine 54:20, pages 692-698.
Crossref
Kenji Kashima, Moe Watanabe & Ichiro Maruta. (2021) Simultaneous Identification of Nonlinear Dynamics and State Distribution using Jensen-Shannon Divergence. IFAC-PapersOnLine 54:14, pages 25-30.
Crossref
Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills & Thomas B. Schön. (2021) Deep Energy-Based NARX Models. IFAC-PapersOnLine 54:7, pages 505-510.
Crossref
Dario Piga, Marco Forgione & Manas Mejari. (2021) Deep learning with transfer functions: new applications in system identification. IFAC-PapersOnLine 54:7, pages 415-420.
Crossref
Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills & Thomas B. Schön. (2021) Beyond Occam’s Razor in System Identification: Double-Descent when Modeling Dynamics. IFAC-PapersOnLine 54:7, pages 97-102.
Crossref
ChunJiang Li, ZhiLong Huang, Yong Wang & HanQing Jiang. (2020) Rapid identification of switched systems: A data-driven method in variational framework. Science China Technological Sciences 64:1, pages 148-156.
Crossref
Minrui ZhengMinrui Zheng. 2021. Spatially Explicit Hyperparameter Optimization for Neural Networks. Spatially Explicit Hyperparameter Optimization for Neural Networks 33 68 .
Minrui ZhengMinrui Zheng. 2021. Spatially Explicit Hyperparameter Optimization for Neural Networks. Spatially Explicit Hyperparameter Optimization for Neural Networks 9 21 .
Swati Swayamsiddha. 2021. Progress in Advanced Computing and Intelligent Engineering. Progress in Advanced Computing and Intelligent Engineering 137 147 .
Tanvi Gupta & S. N. Sachdeva. 2021. Advances in Electromechanical Technologies. Advances in Electromechanical Technologies 475 486 .
Md. Abdul Khalek, Md. Mostafizur Rahman, Md. Kamruzzaman, Zubair Ahmed Shimon, M. Sayedur Rahman & Md. Ayub Ali. 2021. Climate Vulnerability and Resilience in the Global South. Climate Vulnerability and Resilience in the Global South 75 102 .
Héber H. Arcolezi, Willian R. B. M. Nunes, Selene Cerna, Rafael A. de Araujo, Marcelo Augusto Assunção Sanches, Marcelo Carvalho Minhoto Teixeira & Aparecido Augusto de Carvalho. (2020) Identifying the knee joint angular position under neuromuscular electrical stimulation via long short-term memory neural networks. Research on Biomedical Engineering 36:4, pages 511-526.
Crossref
Martha Arbayani Zaidan, Naser Hossein Motlagh, Pak L. Fung, David Lu, Hilkka Timonen, Joel Kuula, Jarkko V. Niemi, Sasu Tarkoma, Tuukka Petaja, Markku Kulmala & Tareq Hussein. (2020) Intelligent Calibration and Virtual Sensing for Integrated Low-Cost Air Quality Sensors. IEEE Sensors Journal 20:22, pages 13638-13652.
Crossref
Mohamed Louzazni & Heba Mosalam. (2020) Dailly Forecasting of Photovoltaic Power Using Non-Linear Auto-Regressive Exogenous Method. Dailly Forecasting of Photovoltaic Power Using Non-Linear Auto-Regressive Exogenous Method.
Amine Naimi, Jiamei Deng, Altahhan Abdulrahman, Vineet Vajpayee, Victor Becerra & Nils Bausch. (2020) Dynamic Neural Network-based System Identification of a Pressurized Water Reactor. Dynamic Neural Network-based System Identification of a Pressurized Water Reactor.
Akhil Nagariya & Srikanth Saripalli. (2020) An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model. An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model.
Bing Huang, Mingcheng E, Zengqiang Jiang & Qi Li. (2020) Prognosis of wheel tread degradation status based on PCA-NARX neural network. Prognosis of wheel tread degradation status based on PCA-NARX neural network.
Gokcen Devlet Sen, Gulay Oke Gunel & Mujde Guzelkaya. (2020) Extended Kalman Filter Based Modified Elman-Jordan Neural Network for Control and Identification of Nonlinear Systems. Extended Kalman Filter Based Modified Elman-Jordan Neural Network for Control and Identification of Nonlinear Systems.
Marco Forgione & Dario Piga. (2020) Model Structures and Fitting Criteria for System Identification with Neural Networks. Model Structures and Fitting Criteria for System Identification with Neural Networks.
Dae-Hyun Lee, Seung-Hyun Lee, Byoung-Kwan Cho, Collins Wakholi, Young-Wook Seo, Soo-Hyun Cho, Tae-Hwan Kang & Wang-Hee Lee. (2020) Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network. Asian-Australasian Journal of Animal Sciences 33:10, pages 1633-1641.
Crossref
Wilmer Ariza Ramirez, Zhi Quan Leong, Hung Duc Nguyen & Shantha Gamini Jayasinghe. (2020) Machine learning post processing of underwater vehicle pressure sensor array for speed measurement. Ocean Engineering 213, pages 107771.
Crossref
Mario Lopez-Pacheco, Jesús Morales-Valdez & Wen Yu. (2020) Frequency domain CNN and dissipated energy approach for damage detection in building structures. Soft Computing 24:20, pages 15821-15840.
Crossref
Reza Daneshfar, Amin Bemani, Masoud Hadipoor, Mohsen Sharifpur, Hafiz Muhammad Ali, Ibrahim Mahariq & Thabet Abdeljawad. (2020) Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms. Applied Sciences 10:18, pages 6432.
Crossref
Mefe Moses, Joseph Danasabe Dodo, Lazarus Mustapha Ojigi & Kola Lawal. (2020) Regional TEC modelling over Africa using deep structured supervised neural network. Geodesy and Geodynamics 11:5, pages 367-375.
Crossref
Azlinda Saadon, Jazuri Abdullah, Nur Shazwani Muhammad & Junaidah Ariffin. (2020) Development of riverbank erosion rate predictor for natural channels using NARX-QR Factorization model: a case study of Sg. Bernam, Selangor, Malaysia. Neural Computing and Applications 32:18, pages 14839-14849.
Crossref
Natasha Dropka & Martin Holena. (2020) Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials. Crystals 10:8, pages 663.
Crossref
Giulia De Zotti, Hanne Binder, Anders Bavnhoj Hansen, Henrik Madsen & Rishi Relan. (2020) Data-driven Nonlinear Prediction Model for Price Signals in Demand Response Programs. Data-driven Nonlinear Prediction Model for Price Signals in Demand Response Programs.
Laya Das, Abhishek Sivaram & Venkat Venkatasubramanian. (2020) Hidden representations in deep neural networks: Part 2. Regression problems. Computers & Chemical Engineering 139, pages 106895.
Crossref
Timothy Praditia, Thilo Walser, Sergey Oladyshkin & Wolfgang Nowak. (2020) Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture. Energies 13:15, pages 3873.
Crossref
N Uddin. (2020) System Identification of Two-Wheeled Robot Dynamics Using Neural Networks. Journal of Physics: Conference Series 1577:1, pages 012034.
Crossref
Biswarup Bhattacharyya, Eric Jacquelin & Denis Brizard. (2020) A Kriging–NARX Model for Uncertainty Quantification of Nonlinear Stochastic Dynamical Systems in Time Domain. Journal of Engineering Mechanics 146:7.
Crossref
Qi Teng, Jiaqi Wang, Zeyu Ding, Lei Zhang & Zhenyu Wang. (2020) Data driven governing equations approximations using attention based multistep neural networks. AIP Advances 10:6.
Crossref
Diego Agudelo-Espana, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Scholkopf, Stefan Bauer & Manuel Wuthrich. (2020) A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models.
Ibrahim Ayed, Emmanuel de Bezenac, Arthur Pajot & Patrick Gallinari. (2020) Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations.
Francesco Smarra, Giovanni Domenico Di Girolamo, Vittorio De Iuliis, Achin Jain, Rahul Mangharam & Alessandro D’Innocenzo. (2020) Data-driven switching modeling for MPC using Regression Trees and Random Forests. Nonlinear Analysis: Hybrid Systems 36, pages 100882.
Crossref
QiuBao Wang, Yuejuan Yang & Xing Zhang. (2020) Detection of Weak Signal Based on Parameter Identification of Delay Differential System with Noise Disturbance. Mathematical Problems in Engineering 2020, pages 1-9.
Crossref
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr & Subramanian Ramamoorthy. (2020) Vid2Param: Modeling of Dynamics Parameters From Video. IEEE Robotics and Automation Letters 5:2, pages 414-421.
Crossref
Syed A. Taqvi, Lemma Dendana Tufa, Haslinda Zabiri, Abdulhalim Shah Maulud & Fahim Uddin. (2018) Fault detection in distillation column using NARX neural network. Neural Computing and Applications 32:8, pages 3503-3519.
Crossref
A M Kwad, D Hanafi, R Omar & H Abdul Rahman. (2020) Development of system identification from traditional concepts to real-time soft computing based. IOP Conference Series: Materials Science and Engineering 767:1, pages 012050.
Crossref
Tong Liu, Sheng Chen, Shan Liang & Chris J. Harris. (2020) Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. Neurocomputing 378, pages 98-111.
Crossref
Shuang Wang, Bi Ying Hu & Jeniffer LoCasale-Crouch. (2020) Modeling the nonlinear relationship between structure and process quality features in Chinese preschool classrooms. Children and Youth Services Review 109, pages 104677.
Crossref
S. N. Omkar, Dheevatsa Mudigere, J. Senthilnath & M. Vijaya Kumar. 2020. Deep Learning and Neural Networks. Deep Learning and Neural Networks 257 273 .
Bojan Mavkov, Marco Forgione & Dario Piga. (2020) Integrated Neural Networks for Nonlinear Continuous-Time System Identification. IEEE Control Systems Letters, pages 1-1.
Crossref
Abdulla Ayyad, Mohamad Chehadeh, Mohammad I. Awad & Yahya Zweiri. (2020) Real-Time System Identification Using Deep Learning for Linear Processes With Application to Unmanned Aerial Vehicles. IEEE Access 8, pages 122539-122553.
Crossref
Hadi Shahnazari. (2020) Fault diagnosis of nonlinear systems using recurrent neural networks. Chemical Engineering Research and Design 153, pages 233-245.
Crossref
J. Ramírez, F. J. Martínez-Murcia, F. Segovia, A. Ortiz, D. Salas-González, S. Carrillo, J. Leiva, J. Rodríguez-Rivero & J. M. Górriz. 2020. Theory and Applications of Time Series Analysis. Theory and Applications of Time Series Analysis 401 414 .
Yongxiang He, Hongwu Guo & Yang Han. (2019) A Novel Hybrid Data-Driven Modeling Method for Missiles. Symmetry 12:1, pages 30.
Crossref
Mahmood Akhtar, Moritz U. G. Kraemer & Lauren M. Gardner. (2019) A dynamic neural network model for predicting risk of Zika in real time. BMC Medicine 17:1.
Crossref
Carl Andersson, Antonio H. Ribeiro, Koen Tiels, Niklas Wahlstrom & Thomas B. Schon. (2019) Deep Convolutional Networks in System Identification. Deep Convolutional Networks in System Identification.
Alan Marcel Fernandes de Souza, Fábio Mendes Soares, Marcos Antonio Gomes de Castro, Nilton Freixo Nagem, Afonso Henrique de Jesus Bitencourt, Carolina de Mattos Affonso & Roberto Célio Limão de Oliveira. (2019) Soft Sensors in the Primary Aluminum Production Process Based on Neural Networks Using Clustering Methods. Sensors 19:23, pages 5255.
Crossref
Tugce Toprak, Savas Sahin, M. Ugur Soydemir, Parvin Bulucu, Aykut Kocaoglu & Cuneyt Guzelis. (2019) Searching Optimal Values of Identification and Controller Design Horizon Lengths, and Regularization Parameters in NARMA Based Online Learning Controller Design. Searching Optimal Values of Identification and Controller Design Horizon Lengths, and Regularization Parameters in NARMA Based Online Learning Controller Design.
Nima Mohajerin & Steven L. Waslander. (2019) Multistep Prediction of Dynamic Systems With Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems 30:11, pages 3370-3383.
Crossref
Sana Mujeeb & Nadeem Javaid. (2019) ESAENARX and DE-RELM: Novel schemes for big data predictive analytics of electricity load and price. Sustainable Cities and Society 51, pages 101642.
Crossref
Samuel H. Rudy, J. Nathan Kutz & Steven L. Brunton. (2019) Deep learning of dynamics and signal-noise decomposition with time-stepping constraints. Journal of Computational Physics 396, pages 483-506.
Crossref
Seef S. Fiyadh, Mohammed A. AlSaadi, Wan Z. Binti Jaafar, Mohamed K. AlOmar, Sabah S. Fayaed, Ako R. Hama, Lai S. Hin & Ahmed El‐Shafie. (2019) Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach. Environmental Progress & Sustainable Energy 38:6.
Crossref
Kai Jiang, Fumitake Fujii & Takehiro Shiinoki. (2019) Prediction of lung tumor motion using nonlinear autoregressive model with exogenous input. Physics in Medicine & Biology 64:21, pages 21NT02.
Crossref
Ratree Kummong & Siriporn Supratid. (2019) Long-term forecasting system using wavelet – nonlinear autoregressive neural network conjunction model. Journal of Modelling in Management 14:4, pages 948-971.
Crossref
Selçuk Erkaya. (2019) Determining power consumption using neural model in multibody systems with clearance and flexible joints. Multibody System Dynamics 47:2, pages 165-181.
Crossref
Xu Han, Huoyue Xiang, Yongle Li & Yichao Wang. (2019) Predictions of vertical train-bridge response using artificial neural network-based surrogate model. Advances in Structural Engineering 22:12, pages 2712-2723.
Crossref
Weiming Wu, Cong Wang & Chengzhi Yuan. (2019) Deterministic learning from sampling data. Neurocomputing 358, pages 456-466.
Crossref

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