Observer-based fuzzy containment control for nonlinear networked mass under DoS attacks. (English) Zbl 1510.93177
Summary: The observer-based fuzzy containment control problem of nonlinear networked multi-agent systems (MASs) suffered from denial-of-service (DoS) attacks is studied in this paper. The studied nonlinear networked MASs are expressed by the Takagi-Sugeno (T-S) fuzzy model. For each agent, the sensor sends measurements to the controller through a non-ideal wireless network that may be attacked. Due to the fact that system states are unmeasurable, a fuzzy observer design method is proposed to resist DoS attacks. Based on observer states, a novel resilient containment controller is designed to compensate for DoS attacks and achieve the states containment objective. The proposed controller design method can convert the nonconvex design condition into a convex one by using the rank decomposition method combined with DoS attacks effect. Finally, simulation is shown to testify the effectiveness of the designed fuzzy observer and containment controller.
Keywords:
multi-agent systems; Takagi-Sugeno fuzzy model; denial-of-service attacks; fuzzy containment controlReferences:
| [1] | Zhang, D.; Shi, P.; Yu, L., Containment control of linear multiagent systems with aperiodic sampling and measurement size reduction, IEEE Trans. Neural Netw. Learn.Syst., 29, 10, 5020-5029 (2018) |
| [2] | Xiao, S.; Dong, J., Distributed fault-tolerant containment control for linear heterogeneous multiagent systems: a hierarchical design approach, IEEE Trans. Cybern. (2022) |
| [3] | Ma, Y.; Che, W.; Deng, C.; Wu, Z., Observer-based event-triggered containment control for MASs under dos attacks, IEEE Trans. Cybern. (2022) |
| [4] | Qin, J.; Ma, Q.; Yu, X.; Kang, Y., Output containment control for heterogeneous linear multiagent systems with fixed and switching topologies, IEEE Trans. Cybern., 49, 12, 4117-4128 (2019) |
| [5] | Ma, Y.; Che, W.; Deng, C.; Wu, Z., Distributed model-free adaptive control for learning nonlinear MASs under dos attacks, IEEE Trans. Neural Netw. Learn. Syst. (2022) |
| [6] | Chen, W.; Ding, D.; Ge, X.; Han, Q.; Wei, G., \( \mathcal{H}_\infty\) containment control of multiagent systems under event-triggered communication scheduling: the finite-horizon case, IEEE Trans. Cybern., 50, 4, 1372-1382 (2020) |
| [7] | Zhang, Z.; Yan, W.; Li, H., Distributed optimal control for linear multiagent systems on general digraphs, IEEE Trans. Autom. Control, 66, 1, 322-328 (2021) · Zbl 1536.93831 |
| [8] | Takagi, T.; Sugeno, M., Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst. Man Cybern., 15, 1, 116-132 (1985) · Zbl 0576.93021 |
| [9] | Wang, W.; Tong, S.; Wang, D., Adaptive fuzzy containment control of nonlinear systems with unmeasurable states, IEEE Trans. Cybern., 49, 3, 961-973 (2019) |
| [10] | Zhang, Z.; Shi, Y.; Zhang, Z.; Yan, W., New results on sliding-mode control for Takagi-Sugeno fuzzy multiagent systems, IEEE Trans. Cybern., 49, 5, 1592-1604 (2019) |
| [11] | Chang, X.; Park, J. H.; Shi, P., Fuzzy resilient energy-to-peak filtering for continuous-time nonlinear systems, IEEE Trans. Fuzzy Syst., 25, 6, 1576-1588 (2017) |
| [12] | Chang, X.; Li, Z.; Park, J. H., Fuzzy generalized \(\mathcal{H}_2\) filtering for nonlinear discrete-time systems with measurement quantization, IEEE Trans. Syst. Man Cybern., 48, 12, 2419-2430 (2018) |
| [13] | Zhang, Z.; Li, H.; Shi, Y.; Zhang, S.; Yan, W., Cooperative optimal control for Lipschitz nonlinear systems over generally directed topologies, Automatica, 122 (2020) · Zbl 1453.93014 |
| [14] | Wang, J.; Xia, J.; Shen, H.; Xing, M.; Park, J., \( \mathcal{H}_\infty\) synchronization for fuzzy Markov jump chaotic systems with piecewise-constant transition probabilities subject to PDT switching rule, IEEE Trans. Fuzzy Syst., 29, 10, 3082-3092 (2021) |
| [15] | Liu, X.; Xia, J.; Wang, J.; Shen, H., Interval type-2 fuzzy passive filtering for nonlinear singularly perturbed PDT-switched systems and its application, J. Syst. Sci. Complexity (2022) |
| [16] | Chang, X.; Jin, X., Observer-based fuzzy feedback control for nonlinear systems subject to transmission signal quantization, Appl. Math. Comput., 414, 1, 126657 (2022) · Zbl 1510.93242 |
| [17] | Chang, X.; Yang, G., Nonfragile \(h_\infty\) filter design for T-S fuzzy systems in standard form, IEEE Trans. Ind. Electron., 61, 7, 3448-3458 (2014) |
| [18] | Deng, C.; Che, W.; Wu, Z., A dynamic periodic event-triggered approach to consensus of heterogeneous linear multiagent systems with time-varying communication delays, IEEE Trans. Cybern., 51, 4, 1812-1821 (2021) |
| [19] | Jin, X.; Che, W.; Wu, Z.; Zhao, Z., Adaptive consensus and circuital implementation of a class of faulty multiagent systems, IEEE Trans. Syst.Man Cybern. (2022) |
| [20] | Chen, W.; Ding, D.; Wei, G.; Zhang, S.; Li, Y., Event-based containment control for multi-agent systems with packet dropouts, Int. J. Syst. Sci., 49, 12, 2658-2669 (2018) · Zbl 1482.93376 |
| [21] | Zhang, Z.; Dong, J., Containment control of interval type-2 fuzzy multi-agent systems with multiple intermittent packet dropouts and actuator failure, J. Franklin Inst., 357, 10, 6096-6120 (2020) · Zbl 1441.93018 |
| [22] | Wang, J.; Huang, Z.; Wu, Z.; Cao, J.; Shen, H., Extended dissipative control for singularly perturbed PDT switched systems and its application, IEEE Trans. Circuits Syst. I, 67, 12, 5281-5289 (2020) · Zbl 1468.93116 |
| [23] | Li, Z.; Chang, X., Robust \(h_\infty\) control for networked control systems with randomly occurring uncertainties: observer-based case, ISA Trans., 83, 13-24 (2018) |
| [24] | Song, Y.; Ye, D., Optimizing dos attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems, Appl. Math. Comput., 393, 125821 (2021) · Zbl 1512.93139 |
| [25] | Chang, B.; Mu, X.; Yang, Z.; Fang, J., Event-based secure consensus of muti-agent systems under asynchronous dos attacks, Appl. Math. Comput., 401, 126120 (2021) · Zbl 1508.93015 |
| [26] | Lü, S.; Jin, X.; Wang, H.; Deng, C., Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service, Appl. Math. Comput., 404, 126255 (2021) · Zbl 1510.93151 |
| [27] | Ye, D.; Yang, X., Distributed event-triggered consensus for nonlinear multi-agnet systems subject to cyber attacks, Inf. Sci., 473, 178-189 (2019) · Zbl 1448.93310 |
| [28] | Xu, W.; Hu, G.; Ho, D. W.C.; Feng, Z., Distributed secure cooperative control under denial-of-service attacks from multiple adversaries, IEEE Trans. Cybern., 50, 8, 3458-3467 (2020) |
| [29] | Yan, J.; Deng, C.; Wen, C., Resilient output regulation in heterogeneous networked systems under byzantine agents, Automatica (2022) · Zbl 1480.93180 |
| [30] | Ding, D.; Wang, Z.; Ho, D. W.C.; Wei, G., Observer-based event-triggering consensus control for multiagent systems with lossy sensors and cyber-attacks, IEEE Trans. Cybern., 47, 8, 1936-1947 (2017) |
| [31] | Deng, C.; Wen, C., Distributed resilient observer-based fault-tolerant control for heterogeneous multiagent systems under actuator faults and dos attacks, IEEE Trans. Control Netw. Syst., 7, 3, 1308-1318 (2020) · Zbl 07255382 |
| [32] | Dong, T.; Gong, Y., Leader-following secure consensus for second-order multi-agent systems with nonlinear dynamics and event-triggered control strategy under dos attack, Neurocomputing, 416, 95-102 (2020) |
| [33] | Zhang, Z.; Dong, J., Fault-tolerant containment control for IT2 fuzzy networked multiagent systems against denial-of-service attacks and actuator faults, IEEE Trans. Syst.Man Cybern. (2022) |
| [34] | Wu, L.; Su, X.; Shi, P., Output feedback control of Markovian jump repeated scalar nonlinear systems, IEEE Trans. Autom. Control, 59, 1, 199-204 (2014) · Zbl 1360.93754 |
| [35] | Deng, C.; Wen, C.; Huang, J.; Zhang, X.; Zou, Y., Distributed observer-based cooperative control approach for uncertain nonlinear MASs under event-triggered communication, IEEE Trans. Autom. Control (2021) |
| [36] | Meng, Z.; Ren, W.; You, Z., Distributed finite-time attitude containment control for multiple rigid bodies, Automatica, 46, 12, 2092-2099 (2010) · Zbl 1205.93010 |
| [37] | Ho, D. W.C.; Lu, G., Robust stabilization for a class of discrete-time nonlinear systems via output feedback: the unified LMI approach, Int. J. Control, 76, 2, 105-115 (2003) · Zbl 1026.93048 |
| [38] | Hu, S.; Yuan, P.; Yue, D.; Dou, C.; Cheng, Z.; Zhang, Y., Attack-resilient event-triggered controller design of DC microgrids under dos attacks, IEEE Trans. Circuits Syst. I, 67, 2, 699-710 (2020) · Zbl 1469.94243 |
| [39] | Cao, Y.; Ren, W., Containment control with multiple stationary or dynamic leaders under a directed interaction graph, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 3014-3019 (2009) |
| [40] | Gao, H.; Zhao, Y.; Lam, J.; Chen, K., \(H_\infty\) fuzzy filtering of nonlinear systems with intermittent measurements, IEEE Trans. Fuzzy Syst., 17, 2, 291-300 (2009) |
| [41] | Wang, Z.; Yang, F.; Ho, D.; Liu, X., Robust \(h_\infty\) control for networked systems with random packet losses, IEEE Trans. Syst. Man Cybern.Part B, 37, 4, 916-924 (2007) |
| [42] | Nguang, S. K.; Assawinchaichote, W., \(H_\infty\) filtering for fuzzy dynamical systems with D stability constraints, IEEE Trans. Circuits Syst. I, 50, 11, 1503-1508 (2003) · Zbl 1368.93155 |
| [43] | Chang, X., Robust nonfragile \(h_\infty\) filtering of fuzzy systems with linear fractional parametric uncertainties, IEEE Trans. Fuzzy Syst., 20, 6, 1001-1011 (2012) |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
