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Networked Control With State Reset and Quantized Measurements: Observer-Based Case
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DOI：10.1109/TIE.2012.2227910.png)
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摘要
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Quantization has been an important research area for a long time for networked control systems. This paper addresses the problem of a reset state observer (RSO)-based control (RSOC) for linear systems using quantized measurements. According to the characteristic of the logarithmic quantizer, an RSOC is presented based on the standard one to suppress sensor quantization effects. By using the Lyapunov approach, the closed-loop system is still asymptotically stable when the reset technique is introduced. The observer and controller gains of the closed-loop systems are obtained via solving linear matrix inequalities. At last, a numerical example is given to illustrate the effectiveness of the proposed results.
Keyword:
Linear matrix inequality (LMI) approach
logarithmic quantizer
reset state observer (RSO)-based control (RSOC)
standard observer (SO)-based control (SOC)
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期刊
IF:
7.2
论文数:
1.8W
被引数:
9.8W
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