Jianing Hu , Zhihua Guo , Ben Niu , Xudong Zhao , Zhenhua Wang , Wenqi Zhou
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Zonotope-based attack detection for cyber-physical systems with a dynamic event-triggered scheme
In this paper, the attack detection problem of linear discrete-time cyber-physical systems (CPSs) with unknown-but-bounded (UBB) external disturbances and measurement noise is investigated. Firstly, a dynamic event triggering scheme (DETS) utilizing zero-order holds (ZOH) to stabilize control signals is designed to enhance communication efficiency while maintaining system performance. Then, under the constructed DETS, a design criterion for the state observer is introduced to guarantee that the observer can effectively estimate the system states and achieve performance. Furthermore, a residual-based attack detection method is then proposed to enhance detection sensitivity and reduce the false alarm rate (FAR). Lastly, a numerical example serves to illustrate the effectiveness of the proposed approach.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.