| Title | Nonlinear cyber-physical system security control under false data injection attack |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Wang, Pengbiao, Ren, Xuemei, Wang, Dengyun |
| Conference Name | 2022 41st Chinese Control Conference (CCC) |
| Keywords | adaptive 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 |
| Abstract | We 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. |
| Notes | ISSN: 1934-1768 |
| DOI | 10.23919/CCC55666.2022.9902555 |
| Citation Key | wang_nonlinear_2022 |
Nonlinear cyber-physical system security control under false data injection attack