| Title | Model-Free Adaptive Security Tracking Control for Networked Control Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Su, Meng-Ying, Che, Wei-Wei, Wang, Zhen-Ling |
| Conference Name | 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) |
| Keywords | Adaptation models, Adaptive systems, composability, DoS attacks, Heuristic algorithms, Learning systems, Metrics, model-free adaptive security tracking control, networked control systems, Networked Control Systems Security, nonlinear networked control systems, pubcrawl, resilience, Resiliency, RTT delays, simulation, System performance |
| Abstract | The model-free adaptive security tracking control (MFASTC) problem of nonlinear networked control systems is explored in this paper with DoS attacks and delays consideration. In order to alleviate the impact of DoS attack and RTT delays on NCSs performance, an attack compensation mechanism and a networked predictive-based delay compensation mechanism are designed, respectively. The data-based designed method need not the dynamic and structure of the system, The MFASTC algorithm is proposed to ensure the output tracking error being bounded in the mean-square sense. Finally, an example is given to illustrate the effectiveness of the new algorithm by a comparison. |
| DOI | 10.1109/DDCLS52934.2021.9455667 |
| Citation Key | su_model-free_2021 |
Model-Free Adaptive Security Tracking Control for Networked Control Systems