Abstract
In this paper, the adaptive control problem of linear uncertain system with quantized state feedback is considered. As the quantized state feedback is discontinuous, the classical adaptive control scheme can not be applied directly. For such a case, the convex analysis methodology is applied. The controller and parameter update law with quantized state feedback is treated as convex combination of some smooth signals. Further, the quantizer is designed to ensure the stability of the closed-loop system.
Original language | English |
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Title of host publication | Proceedings - 2020 Chinese Automation Congress, CAC 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2930-2935 |
Number of pages | 6 |
ISBN (Electronic) | 9781728176871 |
DOIs | |
Publication status | Published - 6 Nov 2020 |
Event | 2020 Chinese Automation Congress, CAC 2020 - Shanghai, China Duration: 6 Nov 2020 → 8 Nov 2020 |
Publication series
Name | Proceedings - 2020 Chinese Automation Congress, CAC 2020 |
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Conference
Conference | 2020 Chinese Automation Congress, CAC 2020 |
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Country/Territory | China |
City | Shanghai |
Period | 6/11/20 → 8/11/20 |
Keywords
- adaptive control
- convex analysis
- stability
- state quantization
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Chen, W., Sun, J., Li, M., & Li, J. (2020). Quantized Adaptive Control of Linear Uncertain System with Convex Analysis. In Proceedings - 2020 Chinese Automation Congress, CAC 2020 (pp. 2930-2935). Article 9327620 (Proceedings - 2020 Chinese Automation Congress, CAC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC51589.2020.9327620