输入输出通道变量化密度系统的稳定性与H∞控制

Weiyang Sun, Lixian Zhang, Dongzhe Wang, Yiming Cheng, Youshan Wang
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引用次数: 2

摘要

本文研究了一类控制输入通道和测量输出通道都有量化信号的系统的稳定性分析和Hoo控制问题。每个量化器的量化密度被认为是可变的,量化器的变化由马尔可夫链控制。利用量化误差相关的Lyapunov函数方法,设计了一组依赖于量化密度模式的Hoo控制器,以实现闭环系统的随机稳定和规定的Hoo性能。最后,给出了一个数值算例,说明了所提控制方法的有效性以及量化密度可变性带来的好处。
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Stability and H∞ Control of Systems with Variable Quantization Density in Both Input and Output Channels
This paper is concerned with the problems of stability analysis and Hoo control for a class of systems with quantized signals in both control input channel and measurement output channel. The quantization density of each quantizer is considered to be variable, and the variations of the quantizers are governed by a Markov chain. With the aid of quantization-error-dependent Lyapunov function approach, a set of Hoo controllers depending on the mode of quantization density are carried out to achieve the stochastic stability and the prescribed Hoo performance of the closed-loop system. Finally, a numerical example is provided to illustrate the effectiveness of the proposed control method and the benefits of the variability of quantization density.
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