Identification of State-space Linear Parameter-varying Models Using Artificial Neural Networks

Author:

Bao Yajie,Velni Javad Mohammadpour,Basina Aditya,Shahbakhti Mahdi

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. Identification of linear parameter varying models;Bamieh;International Journal of Robust and Nonlinear Control: IFAC-Affiliated Journal,2002

2. Chollet, F. et al. (2015). Keras. https://keras.io

3. Clevert, D.A., Unterthiner, T., and Hochreiter, S. (2015). Fast and accurate deep network learning by exponential linear units (elus). arXiv preprint arXiv:1511.07289.

4. Cox, P.B. (2018). Towards efficient identification of linear parameter-varying state-space models. Ph.D. thesis, Ph. D. dissertation, Eindhoven University of Technology.

5. Approximation with artificial neural networks;Csáji;Faculty of Sciences, Etvs Lornd University, Hungary,2001

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