算术下溢
加密
控制理论(社会学)
计算机科学
控制器(灌溉)
缩放比例
理论(学习稳定性)
指数稳定性
多输入多输出
国家(计算机科学)
数学
算法
控制(管理)
人工智能
频道(广播)
操作系统
机器学习
物理
生物
非线性系统
量子力学
程序设计语言
计算机网络
农学
几何学
作者
Kaoru Teranishi,Naoki Shimada,Kiminao Kogiso
标识
DOI:10.1109/cdc40024.2019.9029356
摘要
This study formulates a quantizer design problem for controller encryption and proposes static and dynamic quantizers for the solution to this problem. The proposed quantizers achieve asymptotic stability of networked control systems with the encrypted controller by changing a scaling parameter. The scaling parameter of the dynamic quantizer depends on the plant dynamics and it is updated only by the plant state. Therefore, confidentiality of the encrypted control systems is maintained even if they use the proposed dynamic quantizer. Furthermore, this study also introduces the conditions whereby overflow or underflow of the quantizers does not occur. Finally, a numerical example confirms that the quantizers achieve asymptotic stability of a MIMO system with the encrypted state feedback controller.
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