Control System Response Improvement via Denoising Using Deep Neural Networks

Noise is an inseparable part of control systems. Every sensor reading used for determining the state of a control system is corrupted with noise., therefor increasing the signal to noise ratio of sensor readings can significantly improve the performance of systems. The proposed filter in this paper...

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Vydané v:	2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) s. 0377 - 0382
Hlavní autori:	Fathi, Kiavash, Mahdavi, Mehdi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2019
Predmet:	Adaptive filters Auto-encoder Control system Control systems Convolution Deep learning Denoising Dense neural network Gaussian noise Linear systems Noise reduction Nonlinear systems Probability distribution Robustness Sensor reading Signal Processing Training
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