This paper is concerned with the problem of stabilizing continuous-time linear time-invariant systems subject to quantization and Denial-of-Service (DoS) attacks. In this context, two DoS-induced challenges emerge with the design of resilient encoding schemes, namely, the coupling between encoding strategies of different signals, and the synchronization between the encoder and decoder. To address these challenges, a novel structure that is equipped with a deadbeat controller as well as a delicate transmission protocol for the input and output channels, co-designed leveraging the controllability index, is put forward. When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals. This property is further corroborated by designing encoding schemes as well as conditions that ensure exponential stability of the closed-loop system. On the other hand, when only the output channel is subject to network phenomenon, the proposed structure can achieve exponential stabilization without acknowledgment (ACK) signals, in contrast to existing ACK-based results. Finally, a numerical example is given to demonstrate the practical merits of the proposed approach as well as the theory.
Networked Constrained Cyber-Physical Systems subject to malicious attacks: a resilient set-theoretic control approach
DIMES, Universitá degli Studi della Calabria（卡拉布里亚大学 DIMES）；Electrical and Computer Engineering Department, Carnegie Mellon University（卡内基梅隆大学电气与计算机工程学院）
Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach
Shenzhen University（深圳大学）；Autonomous University of Nuevo Leon（新莱昂自治大学）；Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；Texas A&M University at Qatar（德州农工大学卡塔尔分校）；The University of Hong Kong（香港大学）
Model-Free Reinforcement Learning Control for Resilient Cyber-Physical Systems
Departmento de Ingenier\'ia El\'ectrica, Universidad de Concepci\'on, Concepci\'on, Chile (e-mail: )；Department of Electrical \& Computer Engineering, University of Alberta, Edmonton, T6G 1H9, Alberta, AB, Canada (e-mail: )；Department of Chemical；Biological Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada ( )；Department of Chemical \& Materials Engineering, University of Alberta, Edmonton, T6G 1H9, Alberta, AB, Canada (e-mail: )
Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach
The University of Hong Kong（香港大学）；Shenzhen University（深圳大学）；China Academy of Space Technology（中国空间技术研究院）；University of Alberta（阿尔伯塔大学）；Texas A&M University at Qatar（德州农工大学卡塔尔分校）
