Abstract
System identification has been used in various domains for analyzing system properties and carrying out filtering, prediction and automatic control. Prediction error method (PEM) is one of the classic methods to estimate system parameters and exploit dynamical structure of the studied system; while neural network (NN) is favorable for black-box systems with unknown structures. As the popularity of Internet of Things (IoT) and Cyber-physical systems (CPS) increases, the identification tasks are moving more towards resource-constrained devices. Accordingly, some studies incorporate system prior knowledge into NN to improve its efficiency. However, it is unclear whether the adapted NN outperforms the classic PEM.
This paper provides a fair comparison between two techniques in terms of estimation accuracy and speed on several common
nonlinear systems. The results indicate that NN is wider applicable and accurate, but more expensive from computational perspective; whereas PEM is more lightweight, but has limitations when the system input has frequent abrupt changes.
This paper provides a fair comparison between two techniques in terms of estimation accuracy and speed on several common
nonlinear systems. The results indicate that NN is wider applicable and accurate, but more expensive from computational perspective; whereas PEM is more lightweight, but has limitations when the system input has frequent abrupt changes.
Original language | English |
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Title of host publication | 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Print) | 978-1-6654-1847-8 |
DOIs | |
Publication status | Published - 27 Jul 2021 |
Event | 10th International Conference on Modern Circuits and Systems Technologies, MOCAST 2021 - Virtual Conference Duration: 5 Jul 2021 → 7 Jul 2021 Conference number: 10 |
Conference
Conference | 10th International Conference on Modern Circuits and Systems Technologies, MOCAST 2021 |
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Abbreviated title | MOCAST 2021 |
City | Virtual Conference |
Period | 5/07/21 → 7/07/21 |