Title | Sliding Mode Control Based on Disturbance Observer for Cyber-Physical Systems Security |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Gao, Xiao |
Conference Name | 2022 4th International Conference on Control and Robotics (ICCR) |
Keywords | adaptive control, Adaptive systems, composability, CPS modeling, Cyber-physical systems, disturbance observer, Disturbance observers, information resources, mathematical models, Metrics, pubcrawl, resilience, Resiliency, security, simulation, sliding mode control, Uncertainty |
Abstract | In this paper, a sliding mode control (SMC) based on nonlinear disturbance observer and intermittent control is proposed to maximize the security of cyber-physical systems (CPSs), aiming at the cyber-attacks and physical uncertainties of cyber-physical systems. In the CPSs, the transmission of information data and control signals to the remote end through the network may lead to cyber attacks, and there will be uncertainties in the physical system. Therefore, this paper establishes a CPSs model that includes network attacks and physical uncertainties. Secondly, according to the analysis of the mathematical model, an adaptive SMC based on disturbance observer and intermittent control is designed to keep the CPSs stable in the presence of network attacks and physical uncertainties. In this strategy, the adaptive strategy suppresses the controller The chattering of the output. Intermittent control breaks the limitations of traditional continuous control to ensure efficient use of resources. Finally, to prove the control performance of the controller, numerical simulation results are given. |
DOI | 10.1109/ICCR55715.2022.10053868 |
Citation Key | gao_sliding_2022 |