Abstract
This paper investigates the problem of stabilizing switched linear systems with quantized output measurements. A technique to design a time-varying positive definite matrix is exploited to derive a novel Lyapunov function. A simplified
dynamic quantizer is proposed for switched linear systems based on the novel Lyapunov function with respect to state of the art. The adjustable coefficient μ influencing the accuracy of the dynamic quantizer increases during the zooming-out stage and decreases during the zooming-in stage, which is consistent with non-switched linear system. A numerical example is provided to illustrate the effectiveness of the proposed methods.
dynamic quantizer is proposed for switched linear systems based on the novel Lyapunov function with respect to state of the art. The adjustable coefficient μ influencing the accuracy of the dynamic quantizer increases during the zooming-out stage and decreases during the zooming-in stage, which is consistent with non-switched linear system. A numerical example is provided to illustrate the effectiveness of the proposed methods.
Original language | English |
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Title of host publication | Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA) |
Editors | L. Liu, H. Lin |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Pages | 236-241 |
ISBN (Print) | 978-1-5386-2679-5 |
DOIs | |
Publication status | Published - 2017 |
Event | ICCA 2017 13th International Conference on Control & Automation - Ohrid, Macedonia, The Former Yugoslav Republic of Duration: 3 Jul 2017 → 6 Jul 2017 |
Conference
Conference | ICCA 2017 13th International Conference on Control & Automation |
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Abbreviated title | ICCA 2017 |
Country/Territory | Macedonia, The Former Yugoslav Republic of |
City | Ohrid |
Period | 3/07/17 → 6/07/17 |
Keywords
- Switched linear systems
- signal quantization