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首页> 外文期刊>SIAM Journal on Control and Optimization >OBSERVER-BASED STABILIZING CONTROLLERS FOR DISCRETE-TIME SYSTEMS WITH QUANTIZED SIGNAL AND MULTIPLICATIVE RANDOM NOISE
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OBSERVER-BASED STABILIZING CONTROLLERS FOR DISCRETE-TIME SYSTEMS WITH QUANTIZED SIGNAL AND MULTIPLICATIVE RANDOM NOISE

机译:带有量化信号和可乘随机噪声的离散时间系统的基于观察者的稳定控制器

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摘要

This paper is concerned with the characterization of quadratic mean square (QMS) stabilizing controllers for systems with both quantization error and multiplicative random noise. An observer-based output feedback controller is proposed and designed to achieve the QMS stability of the closed-loop system, and all QMS stabilizing controllers in this structure are characterized in terms of an inequality involving the Mahler measure of the plant, together with an algebraic Riccati inequality. It is noted that the present results potentially pave the road to search for solutions to a more specific control design to address additional system performance requirements.
机译:本文涉及具有量化误差和可乘随机噪声的系统的二次均方(QMS)稳定控制器的特性。提出并设计了一个基于观察者的输出反馈控制器,以实现闭环系统的QMS稳定性,并且该结构中的所有QMS稳定控制器均以不等式为特征,其中不等式涉及工厂的马勒测度以及代数里卡蒂不平等。应当指出,当前的结果可能为寻求针对更具体的控制设计的解决方案以解决其他系统性能要求铺平了道路。

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