References
- Aicha, Z. and Ahmed, S.N. (2024). Decentralized sliding mode control using an event-triggered mechanism for discrete interconnected Hammerstein systems, International Journal of Applied Mathematics and Computer Science 34(3): 349–360, DOI: 10.61822/amcs-2024-0025.
- Aoufi, S., Derhab, A. and Guerroumi, M. (2020). Survey of false data injection in smart power grid: Attacks, countermeasures and challenges, Journal of Information Security and Applications 54: 102518, DOI: 10.1016/j.jisa.2020.102518.
- Chen, C. and Zou, W. (2023). Event-triggered consensus of multiple uncertain Euler–Lagrange systems with limited communication range, IEEE Transactions on Systems, Man, and Cybernetics: Systems 53(9): 5945–5954.
- Choi, J., Habibi, S. and Bidram, A. (2021). Distributed finite-time event-triggered frequency and voltage control of AC microgrids, IEEE Transactions on Power Systems 37(3): 1979–1994.
- Duo, W., Zhou, M. and Abusorrah, A. (2022). A survey of cyber attacks on cyber physical systems: Recent advances and challenges, IEEE/CAA Journal of Automatica Sinica 9(5): 784–800.
- Gong, S., Zheng, M., Hu, J. and Zhang, A. (2023). Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus, International Journal of Applied Mathematics and Computer Science 33(3): 439–448, DOI: 10.34768/amcs-2023-0032.
- Guo, G., An, X., Sun, J., Ji, Z. and Zhao, Z. (2023). Observer-based event-triggered sliding mode tracking control for uncertain robotic manipulator systems, Journal of the Brazilian Society of Mechanical Sciences and Engineering 45(9): 453.
- Guo, G., Tan, H., Feng, Y. and Wang, Y. (2024). Event-triggered fixed-time tracking control for uncertain networked autonomous surface vehicle with disturbances, Ocean Engineering 312(1): 119100.
- Hao, M., Lan, J., Wang, L., Lin, Y., Wang, J. and Qin, L. (2024). Optimized dual-layer distributed energy storage configuration for voltage over-limit zoning governance in distribution networks, Energies 17(8): 1847.
- He, N., Ma, K. and Li, H. (2022). Resilient predictive control strategy of cyber-physical systems against FDI attack, IET Control Theory & Applications 16(11): 1098–1109.
- Husnoo, M., Anwar, A., Hosseinzadeh, N., Islam, S., Mahmood, A. and Doss, R. (2023). False data injection threats in active distribution systems: A comprehensive survey, Future Generation Computer Systems 140: 344–364, DOI: 10.1016/j.future.2022.10.021.
- Jamroen, C. (2022). The effect of SoC management on economic performance for battery energy storage system in providing voltage regulation in distribution networks, Electric Power Systems Research 211: 108340, DOI: 10.1016/j.epsr.2022.108340.
- Lei, W., Pang, Z., Wen, H. and Hou, W. (2022). FDI attack detection at the edge of smart grids based on classification of predicted residuals, IEEE Transactions on Industrial Informatics 18(12): 9302–9311.
- Li, M., Long, Y., Li, T. and Chen, C. (2022). Consensus of linear multi-agent systems by distributed event-triggered strategy with designable minimum inter-event time, Information Sciences 609: 644–659, DOI: 10.1016/j.ins.2022.07.107.
- Li, Y. and Yan, J. (2020). Cybersecurity of smart inverters in the smart grid: A survey, IEEE Transactions on Power Electronics 38(2): 2364–2383.
- Liang, G., Weller, S., Zhao, J. and Luo, F. (2016). The 2015 Ukrainian blackout: Implications for false data injection attacks, IEEE Transactions on Power Systems 32(4): 3317–3318.
- Liu, C., Ma, X., Zhou, M., Wu, J. and Long, C. (2018). An event-trigger two-stage architecture for voltage control in distribution systems, International Journal of Electrical Power & Energy Systems 95: 577–584, DOI:10.1016/j.ijepes.2017.08.030.
- Liu, Y., Wei, Y., Wang, C. and Wu, H. (2024). Trajectory optimization for adaptive deformed wheels to overcome steps using an improved hybrid genetic algorithm and an adaptive particle swarm optimization, Mathematics 12(13): 2077.
- Mohan, A., Meskin, N. and Mehrjerdi, H. (2020). A comprehensive review of the cyber-attacks and cyber-security on load frequency control of power systems, Energies 13(15): 3860.
- Moudoud, H., Mlika, Z., Khoukhi, L. and Cherkaoui, S. (2022). Detection and prediction of FDI attacks in IoT systems via hidden Markov model, IEEE Transactions on Network Science and Engineering 9(5): 2978–2990.
- Murray, W., Adonis, M. and Raji, A. (2021). Voltage control in future electrical distribution networks, Renewable and Sustainable Energy Reviews 146: 111100, DOI: 10.1016/j.rser.2021.111100.
- Pang, Z., Fu, Y., Guo, H. and Sun, J. (2023). Analysis of stealthy false data injection attacks against networked control systems: Three case studies, Journal of Systems Science and Complexity 36(4): 1407–1422.
- Sarkar, S., Teo, Y. and Chang, E. (2022). A cybersecurity assessment framework for virtual operational technology in power system automation, Simulation Modelling Practice and Theory 117: 102453, DOI: 10.1016/j.simpat.2021.102453.
- Shi, J., Yue, D. andWeng, S. (2019). Distributed event-triggered mechanism for secondary voltage control with microgrids, Transactions of the Institute of Measurement and Control 41(6): 1553–1561.
- Sun, H., Guo, Q., Qi, J., Ajjarapu, V., Bravo, R., Chow, J. and Yang, G. (2019). Review of challenges and research opportunities for voltage control in smart grids, IEEE Transactions on Power Systems 34(4): 2790–2801.
- Sun, H., Huang, J., Chen, Z. and Wang, Z. (2023). State-sensitive event-triggered path following control of autonomous ground vehicles, Intelligence & Robotics 3(3): 257–273.
- Xing, Z. and Liu, B. (2022). Vector correlation learning and pairwise optimization feature selection for false data injection attack detection in smart grid, International Journal of Emerging Electric Power Systems 23(6): 831–838.
- Yang, H., Deng, C., Xie, X. and Ding, L. (2023). Distributed resilient secondary control for AC microgrid under FDI attacks, IEEE Transactions on Circuits and Systems II: Express Briefs 70(7): 2570–2574.
- Zhang, G., Tong, D., Chen, Q. and Zhou, W. (2023). Sliding mode control against false data injection attacks in DC microgrid systems, IEEE Systems Journal 17(4): 6159–6168.
- Zhang, X., Han, Q., Ge, X., Ding, D., Ding, L., Yue, D. and Peng, C. (2021). Networked control systems: A survey of trends and techniques, IEEE/CAA Journal of Automatica Sinica 7(1): 1–17.
- Zhao, W. (2024). Voltage difference over-limit fault prediction of energy storage battery cluster based on data driven method, Journal of Intelligent & Fuzzy Systems 46(2): 5155–5164.
- Zhou, X., Farivar, M., Liu, Z., Chen, L. and Low, S. (2022). Reverse and forward engineering of local voltage control in distribution networks, IEEE Transactions on Automatic Control 66(3): 1116–1128.
- Zhu, D., Zhou, Q. and Wang, C. (2022). Research on high-proportion distributed photovoltaic access planning method considering voltage over limit risk, Journal of Physics: Conference Series 2399(1): 012037.