Probabilistic event-triggered protocol for switched power systems under multi-strategy deception attack. (English) Zbl 1525.93245
Summary: This paper focuses on the security control of a discrete-time switched power system utilizing a probabilistic event-triggered protocol under a multi-strategy deception attack. To better characterize the system mode’s switching behavior, a novel nonhomogeneous sojourn probability is introduced, which is modulated by a upper-level deterministic switching signal. Furthermore, a multi-strategy deception attack is established, wherein different deception attack strategies randomly target various nodes during signal transmission through the network carrier to the controller. To optimize network resource utilization, a probabilistic event-dependent triggering protocol based on a triggering threshold interval is presented, which effectively reduces unnecessary communication, leading to resource savings. Subsequently, sufficient conditions for the closed-loop system’s input-to-state stability in probability is derived. Finally, the effectiveness of the proposed control strategy is demonstrated through simulation results, which verify its capability in enhancing system security and stability, while efficiently utilizing network resources.
MSC:
| 93C65 | Discrete event control/observation systems |
| 93E03 | Stochastic systems in control theory (general) |
| 93C55 | Discrete-time control/observation systems |
References:
| [1] | Tao, T.; Roy, S.; Baldi, S., Stable adaptation in multi-area load frequency control under dynamically-changing topologies, IEEE Trans. Power Syst., 36, 4, 2946-2956 (2020) |
| [2] | Tzounas, G.; Milano, F., Delay-based decoupling of power system models for transient stability analysis, IEEE Trans. Power Syst., 36, 1, 464-473 (2020) |
| [3] | Xie, L.; Cheng, J.; Zou, Y.; Wu, Z.-G.; Yan, H., A dynamic-memory event-triggered protocol to multiarea power systems with semi-Markov jumping parameter, IEEE Trans. Cybern., 53, 10, 6577-6587 (2023) |
| [4] | Soliman, H.; Shafiq, M., Robust stabilisation of power systems with random abrupt changes, IET Gener. Transm. Distrib., 9, 15, 2159-2166 (2015) |
| [5] | Dong, S.; Liu, M., Adaptive fuzzy asynchronous control for nonhomogeneous Markov jump power systems under hybrid attacks, IEEE Trans. Fuzzy Syst., 31, 3, 1009-1019 (2022) |
| [6] | Dong, S.; Liu, L.; Feng, G.; Liu, M.; Wu, Z.-G., Quantized fuzzy cooperative output regulation for heterogeneous nonlinear multiagent systems with directed fixed/switching topologies, IEEE Trans. Cybern., 52, 11, 12393-12402 (2022) |
| [7] | Kuppusamy, S.; Joo, Y. H.; Kim, H. S., Asynchronous control for discrete-time hidden Markov jump power systems, IEEE Trans. Cybern., 52, 9, 9943-9948 (2021) |
| [8] | de Oliveira, A. M.; Costa, O. L.; dos Santos, S. R.B.; Gabriel, G. W., Reduced-order energy-to-peak filtering for hidden Markov jump linear systems, J. Franklin Inst., 360, 1, 251-276 (2023) · Zbl 1506.93094 |
| [9] | Patel, A.; Roy, S.; Baldi, S., Wide-area damping control resilience towards cyber-attacks: a dynamic loop approach, IEEE Trans. Smart Grid., 12, 4, 3438-3447 (2021) |
| [10] | Xu, W.; Hu, G.; Ho, D. W.; Feng, Z., Distributed secure cooperative control under denial-of-service attacks from multiple adversaries, IEEE Trans. Cybern., 50, 8, 3458-3467 (2019) |
| [11] | Ding, D.; Wang, Z.; Han, Q.-L.; Wei, G., Security control for discrete-time stochastic nonlinear systems subject to deception attacks, IEEE Trans. Syst. Man Cybern. Syst., 48, 5, 779-789 (2016) |
| [12] | Liu, S.; Cheng, J.; Zhang, D.; Yan, H.; Park, J. H., Saturation control for fuzzy Markovian switching systems with singularly perturbation and cyber-attacks, Inf. Sci. (Ny), 609, 931-948 (2022) · Zbl 1533.93525 |
| [13] | Li, Y.; Yang, Y.; Chai, T.; Chen, T., Stochastic detection against deception attacks in CPS: performance evaluation and game-theoretic analysis, Automatica, 144, 110461 (2022) · Zbl 1498.93292 |
| [14] | Cheng, J.; Park, J. H.; Wu, Z.-G.; Yan, H., Ultimate boundedness control for networked singularly perturbed systems with deception attacks: a Markovian communication protocol approach, IEEE Trans. Netw. Sci. Eng., 9, 2, 445-456 (2022) |
| [15] | Hu, Z.; Deng, F.; Su, Y.; Zhang, J.; Hu, S., Security control of networked systems with deception attacks and packet dropouts: a discrete-time approach, J. Franklin Inst., 358, 16, 8193-8206 (2021) · Zbl 1472.93065 |
| [16] | Han, Z.; Zhang, S.; Jin, Z.; Hu, Y., Secure state estimation for event-triggered cyber-physical systems against deception attacks, J. Franklin Inst., 359, 18, 11155-11185 (2022) · Zbl 1504.93225 |
| [17] | Yang, R.; Liu, G.-P.; Shi, P.; Thomas, C.; Basin, M. V., Predictive output feedback control for networked control systems, IEEE Trans. Ind. Electron., 61, 1, 512-520 (2013) |
| [18] | Zhang, D.; Shi, P.; Wang, Q.-G.; Yu, L., Analysis and synthesis of networked control systems: a survey of recent advances and challenges, ISA Trans., 66, 376-392 (2017) |
| [19] | Zhang, X.-M.; Han, Q.-L.; Ge, X.; Ding, L., Resilient control design based on a sampled-data model for a class of networked control systems under denial-of-service attacks, IEEE Trans. Cybern., 50, 8, 3616-3626 (2019) |
| [20] | Guo, L.; Cui, T.; Yu, H.; Hao, F., Stability of networked control system subject to denial-of-service, Sci. China Inf. Sci., 64, 1-3 (2021) |
| [21] | Hu, S.; Yue, D.; Xie, X.; Chen, X.; Yin, X., Resilient event-triggered controller synthesis of networked control systems under periodic dos jamming attacks, IEEE Trans. Cybern., 49, 12, 4271-4281 (2018) |
| [22] | Liu, S.; Cheng, J.; Zhang, D.; Cao, J.; Zhang, H.; Alsaedi, A., Dynamic quantized control for switched fuzzy singularly perturbation systems with event-triggered protocol, J. Franklin Inst., 360, 9, 5996-6020 (2023) · Zbl 1516.93150 |
| [23] | Zhang, S.; Zhao, J., Hybrid anti-bump control for switched nonlinear systems with event-triggering under sampled-data-based switching, J. Franklin Inst., 360, 6, 4247-4271 (2023) · Zbl 1516.93049 |
| [24] | Ren, H.; Cheng, Z.; Qin, J.; Lu, R., Deception attacks on event-triggered distributed consensus estimation for nonlinear systems, Automatica, 154, 111100 (2023) · Zbl 1520.93319 |
| [25] | Cheng, J.; Xie, L.; Zhang, D.; Yan, H., Novel event-triggered protocol to sliding mode control for singular semi-Markov jump systems, Automatica, 151, 110906 (2023) · Zbl 1526.93146 |
| [26] | Soliman, H.; Elshafei, A.; Shaltout, A.; Morsi, M., Robust power system stabiliser, IEE Proc.-Gener. Transm. Distrib., 147, 5, 285-291 (2000) |
| [27] | Cheng, J.; Liang, L.; Park, J. H.; Yan, H.; Li, K., A dynamic event-triggered approach to state estimation for switched memristive neural networks with nonhomogeneous sojourn probabilities, IEEE Trans. Circuits Syst. I Regul. Pap., 68, 12, 4924-4934 (2021) |
| [28] | Cheng, J.; Liang, L.; Cao, J.; Zhu, Q., Outlier-resistant state estimation for singularly perturbed complex networks with nonhomogeneous sojourn probabilities, IEEE Trans. Cybern., 1-10 (2022) |
| [29] | Cheng, J.; Xu, J.; Park, J. H.; Basin, M. V., Protocol-based load frequency control for power systems with nonhomogeneous sojourn probabilities, IEEE Trans. Syst. Man Cybern. Syst., 53, 9, 5742-5750 (2023) |
| [30] | Cao, J.; Rakkiyappan, R.; Maheswari, K.; Chandrasekar, A., Exponential \(H_\infty\) filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities, Sci. China Technol. Sci., 59, 387-402 (2016) |
| [31] | Dong, S.; Wu, Z.-G.; Shi, P.; Su, H.; Lu, R., Reliable control of fuzzy systems with quantization and switched actuator failures, IEEE Trans. Syst. Man Cybernet. Syst., 47, 8, 2198-2208 (2016) |
| [32] | Cheng, J.; Park, J. H.; Cao, J.; Zhang, D., Quantized \(H_\infty\) filtering for switched linear parameter-varying systems with sojourn probabilities and unreliable communication channels, Inf. Sci. (Ny), 466, 289-302 (2018) · Zbl 1448.93323 |
| [33] | Hu, L.; Wang, Z.; Han, Q.-L.; Liu, X., State estimation under false data injection attacks: security analysis and system protection, Automatica, 87, 176-183 (2018) · Zbl 1378.93119 |
| [34] | Chen, H.; Gao, F.; Zong, G., Finite-time dissipative fuzzy state estimation for jump systems with mixed cyber attacks: a probabilistic event-triggered approach, IEEE Trans. Cybern., 53, 6, 3493-3505 (2023) |
| [35] | Hespanha, J. P., Uniform stability of switched linear systems: extensions of LaSalle’s invariance principle, IEEE Trans. Automat. Contr., 49, 4, 470-482 (2004) · Zbl 1365.93348 |
| [36] | Yang, Y.; Niu, Y.; Lam, J., Security interval type-2 fuzzy sliding mode control under multistrategy injection attack: design, analysis, and optimization, IEEE Trans. Fuzzy Syst., 31, 9, 2943-2955 (2023) |
| [37] | Hu, J.; Ding, B., Output feedback model predictive control with steady-state target calculation for fuzzy systems, IEEE Trans. Fuzzy Syst., 28, 12, 3442-3449 (2020) |
| [38] | Hu, J., Dynamic output feedback MPC of polytopic uncertain systems: efficient LMI conditions, IEEE Trans. Circuits Syst. II Express Briefs, 68, 7, 2568-2572 (2021) |
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