Visible to the public Nonlinear cyber-physical system security control under false data injection attack

TitleNonlinear cyber-physical system security control under false data injection attack
Publication TypeConference Paper
Year of Publication2022
AuthorsWang, Pengbiao, Ren, Xuemei, Wang, Dengyun
Conference Name2022 41st Chinese Control Conference (CCC)
Keywordsadaptive compensation control, Adaptive systems, control theory, cyber-physical system, Cyber-physical systems, data communication, digital communication, false data injection attack, Fuzzy logic, Human Behavior, human factors, pubcrawl, Quantization (signal), resilience, Resiliency, Scalability, security, sliding mode control
AbstractWe investigate the fuzzy adaptive compensation control problem for nonlinear cyber-physical system with false data injection attack over digital communication links. The fuzzy logic system is first introduced to approximate uncertain nonlinear functions. And the time-varying sliding mode surface is designed. Secondly, for the actual require-ment of data transmission, three uniform quantizers are designed to quantify system state and sliding mode surface and control input signal, respectively. Then, the adaptive fuzzy laws are designed, which can effectively compensate for FDI attack and the quantization errors. Furthermore, the system stability and the reachability of sliding surface are strictly guaranteed by using adaptive fuzzy laws. Finally, we use an example to verify the effectiveness of the method.
NotesISSN: 1934-1768
DOI10.23919/CCC55666.2022.9902555
Citation Keywang_nonlinear_2022