Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks
Niu, Ben1; Chen, Wendi1; Su, Wei2; Wang, Huanqing3; Wang, Ding4,5; Zhao, Xudong6
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
2022-10-11
Pages9
Corresponding AuthorSu, Wei(suwei1201@sina.com)
AbstractThis 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.
KeywordSwitches 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
DOI10.1109/TCYB.2022.3209694
WOS KeywordSTATE ESTIMATION ; SYSTEMS ; SECURITY
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation of China ; Taishan Scholar Project of Shandong Province of China
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000869395100001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:27[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/50282
Collection多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
Corresponding AuthorSu, Wei
Affiliation1.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.Bohai Univ, Sch Math Sci, Jinzhou 121000, Peoples R China
4.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
6.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China
Recommended Citation
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.
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