Abstract
In [1], an interesting issue was investigated on how an existing controller can still achieve the same control performance under the quantization case by designing the online adjusting strategy for the quantizer's parameter. However, the above work ignored the limitation of the coding length in the practical transmitting procedure such that the desirable performance may not be achieved due to the inevitable coding errors. Hence, this work will further consider the above issue under the limited coding length. Different coding rules are designed for the quantized states and the adaptive quantizer's parameters. The minimum bound of coding errors is explicitly given, which are dependent on the coding length and the coding range. Moreover, the relation between the coding length and the control performance is established, that is, the coding length has a direct effect on the convergent upper bound of the system state and the sliding domain around the specified sliding surface. Finally, an operational amplifier circuit system is provided to verify the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 4738- 4745 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 67 |
| Issue number | 9 |
| Online published | 3 May 2022 |
| DOIs | |
| Publication status | Published - Sept 2022 |
Funding
This work was supported in part by the NNSF (62073139) from China; RGC of the Hong Kong (CityU 11203521, 11200717), and CityU Strategic Research Grant (7005511).
Research Keywords
- Decoding
- dynamic parameter adjusting rule
- Encoding
- encoding-decoding scheme
- limited coding length
- Linear matrix inequalities
- Quantization (signal)
- sliding mode control
- Stochastic processes
- System performance
- Upper bound
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Li, J., Niu, Y., & Ho, D. W. C. (2022). Limited Coding-Length-Based Sliding Mode Control with Adaptive Quantizer's Parameter. IEEE Transactions on Automatic Control, 67(9), 4738- 4745. https://doi.org/10.1109/TAC.2022.3172267.
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'Limited Coding-Length-Based Sliding Mode Control with Adaptive Quantizer's Parameter'. Together they form a unique fingerprint.Projects
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GRF: Distributed Optimization over Multi-agent Networks
HO, W. C. D. (Principal Investigator / Project Coordinator)
1/01/22 → 6/11/25
Project: Research
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GRF: Secure Estimation and Control of Networked Systems under Cyber-attacks
HO, W. C. D. (Principal Investigator / Project Coordinator)
1/12/17 → 3/11/21
Project: Research
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