Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks

doi:10.1109/TCYB.2022.3209694

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 智能化团队

	Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks
	Niu, Ben 1; Chen, Wendi 1; Su, Wei 2; Wang, Huanqing 4; Wang, Ding 5,6; Zhao, Xudong 3
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2022-10-11
页码	9
关键词	Switches Stochastic processes Security Heuristic algorithms Actuators Nonlinear systems Control design Dynamic surface control (DSC) stochastic nonlinear cyber-physical systems (CPSs) switching threshold event-triggered control unknown deception attacks
ISSN号	2168-2267
DOI	10.1109/TCYB.2022.3209694
通讯作者	Su, Wei(suwei1201@sina.com)
英文摘要	This work concentrates on the adaptive resilient dynamic surface controller design problem for uncertain nonlinear lower triangular stochastic cyber-physical systems (CPSs) subject to unknown deception attacks based on a switching threshold event-triggered mechanism. The adverse effect of deception attacks on the stochastic CPSs is that the exact system state variables become unavailable. Furthermore, it should be emphasized that the coexistence of unknown nonlinearities, stochastic perturbations, and unknown sensor and actuator attacks makes it a very difficult and challenging event to implement the control design. To get the desired controller, radial basis function (RBF) neural networks (NNs) are introduced so that the design obstacle caused from the unknown nonlinearities can be easily solved. On this basis, in order to save resources and effectively transmit, the event-triggered control scheme based on a switching threshold strategy is further considered. In the backstepping design process, the dynamic surface control (DSC) technique is presented to deal with the issue of "explosion of complexity." By skillfully designing a new coordinate transformation and the attack compensators, the problem of unknown deception attacks is successfully handled. Under our proposed control scheme, all the closed-loop signals are bounded in probability and the stabilization errors converge to an adjustable neighborhood of the origin in probability. Finally, the simulation results on the double chemical reactor show the validity of the proposed design scheme.
资助项目	National Natural Science Foundation of China[61873151] ; National Natural Science Foundation of China[61803237] ; National Natural Science Foundation of China[62073201] ; Shandong Provincial Natural Science Foundation of China[ZR2019MF009] ; Taishan Scholar Project of Shandong Province of China[tsqn201909078]
WOS关键词	STATE ESTIMATION ; SYSTEMS ; SECURITY
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000869395100001
资助机构	National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation of China ; Taishan Scholar Project of Shandong Province of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50281]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
通讯作者	Su, Wei
作者单位	1.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China 2.Tianjin Univ, Sch Elect Automat & Informat Engn, Tianjin 300072, Peoples R China 3.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China 4.Bohai Univ, Sch Math Sci, Jinzhou 121000, Peoples R China 5.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China 6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Niu, Ben,Chen, Wendi,Su, Wei,et al. Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks[J]. IEEE TRANSACTIONS ON CYBERNETICS,2022:9.
APA	Niu, Ben,Chen, Wendi,Su, Wei,Wang, Huanqing,Wang, Ding,&Zhao, Xudong.(2022).Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks.IEEE TRANSACTIONS ON CYBERNETICS,9.
MLA	Niu, Ben,et al."Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks".IEEE TRANSACTIONS ON CYBERNETICS (2022):9.