Packet-Dropouts Compensation for Networked Control System via Deep ReLU Neural Network
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-70136-3_7
Reference14 articles.
1. Nagahara, M., Quevedo, D.E., Matsuda, T., Hayashi, K.: Compressive sampling for networked feedback control. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2733–2736. IEEE (2012)
2. Nagahara, M., Quevedo, D.E., Ostergaard, J.: Packetized predictive control for rate-limited networks via sparse representation. In: 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp. 1362–1367. IEEE (2012)
3. Li, H., Sun, Z., Liu, H., Chow, M.Y.: Predictive observer-based control for networked control systems with network-induced delay and packet dropout. Asian J. Control 10(6), 638–650 (2008)
4. Ling, Q., Lemmon, M.D.: Power spectral analysis of networked control systems with data dropouts. IEEE Trans. Autom. Control 49(6), 955–959 (2004)
5. Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006)
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