This paper investigates the problem of dynamic output feedback control for Takagi–Sugeno (T-S) fuzzy systems under denial-of-service (DoS) attacks. First, a resilient sampled-data method is designed to resist the effect of DoS attacks. Then, a maximum DoS attack rate is proposed to evaluate the system resistance to attacks. Next, a cooperative framework is used to describe T-S fuzzy model, resilient sampling mechanisms, and DoS attacks. By using the interval property of resilient sampling, the associated Lyapunov function is constructed and the stability of the T-S fuzzy system is proved by combining inequality and convex combination techniques. In addition, a linear matrix inequality technique is utilized to find controller gains. Finally, a numerical simulation verifies the correctness of that proposed control strategy.
AuriolJPietriDB (2022) Robust state-feedback stabilization of an underactuated network of interconnected n+ m hyperbolic PDE systems. Automatica136: 110040.
2.
ChangXHYangGH (2014) New results on output feedback H∞ control for linear discrete-time systems. IEEE Transactions on Automatic Control59(5): 1355–1359.
3.
Di FerdinandoMPepePDi GennaroS (2022) On robustification of sampled-data dynamic output-feedback stabilizers for control-affine nonlinear systems. IEEE Control Systems Letters6: 3277–3282.
4.
DongJHouQRenM (2020) Control synthesis for discrete-time T–S fuzzy systems based on membership function-dependent H∞ performance. IEEE Transactions on Fuzzy Systems28(12): 3360–3366.
5.
HongGBKimSH (2024) Local fuzzy-basis-dependent stabilization of interval type-2 T–S fuzzy systems via an improved adaptive memory-based event-triggered mechanism. IEEE Transactions on Fuzzy Systems32(10): 5858–5871.
6.
HuSChenXLiJ, et al. (2024) Observer-based resilient controller design for networked stochastic systems under coordinated DoS and FDI attacks. IEEE Transactions on Control of Network Systems11(2): 890–901.
7.
HuangJYeZNiH, et al. (2025) Finite-time resilient sliding mode control of UMV systems with stochastic actuator failures and DoS attacks. Transactions of the Institute of Measurement and Control47(8): 1544–1555.
8.
LaiSChenBLiT, et al. (2019) Packet-based state feedback control under DoS attacks in cyber-physical systems. IEEE Transactions on Circuits and Systems II: Express Briefs66(8): 1421–1425.
9.
LiHZhanXYangQ, et al. (2024) Quantized based dynamic-output-feedback guaranteed-cost control of interval-type-2 Takagi-Sugeno fuzzy systems under DoS attacks. Information Sciences683: 121238.
10.
LiYTongSLiT (2015) Hybrid fuzzy adaptive output feedback control design for uncertain MIMO nonlinear systems with time-varying delays and input saturation. IEEE Transactions on Fuzzy Systems24(4): 841–853.
11.
LuJJiangHHouX, et al. (2023) Distributed edge-based event-triggered control for voltage restoration and current sharing in DC microgrids under DoS attacks. IEEE Transactions on Industrial Electronics70(8): 8053–8063.
12.
MinHShiS (2024) State-feedback control for full-state constrained nonlinear systems in a prescribed time. Journal of the Franklin Institute361(13): 107052.
13.
MuYZhangHGaoZ, et al. (2023) A fuzzy Lyapunov function approach for fault estimation of T–S fuzzy fractional-order systems based on unknown input observer. IEEE Transactions on Systems, Man, and Cybernetics: Systems53(2): 1246–1255.
14.
NarayananGHoonJJHoonJY (2025) Resilient sampled-data control for fractional-order PMVG-based WTS with actuator saturation and probabilistic faults using fuzzy Lyapunov function method. Information Sciences686: 121294.
15.
PanYWuYLamHK (2022) Security-based fuzzy control for nonlinear networked control systems with DoS attacks via a resilient event-triggered scheme. IEEE Transactions on Fuzzy Systems30(10): 4359–4368.
16.
QiYYuWZhaoX, et al. (2022) Event-triggered control for network-based switched systems with switching signals subject to dual-terminal DoS attacks. IEEE/ACM Transactions on Networking30(3): 1283–1293.
17.
QiuLShaoZDongL, et al. (2025) Dual-mode model predictive control for constrained networked control system with DoS attacks and disturbances. IEEE Transactions on Automation Science and Engineering22: 14987–14996.
18.
Ram KumarBBalasubramaniamPVijay AravindR (2024) Designing asynchronous resilient sampled data controller for nonlinear Markov jump systems via hidden Markov model and quantum genetic algorithm. Journal of the Franklin Institute361(8): 106853.
19.
ShengZXuS (2025) Secure stabilization of networked systems without DoS attack detection via novel aperiodic sampled-data control method with switched gains and its applications. IEEE Transactions on Automation Science and Engineering22: 15326–15338.
20.
SiXWangZHuangX, et al. (2025) Resilient-sampling-based bipartite synchronization of cooperative-antagonistic neural networks with hybrid attacks: Designing interval-dependent functions. IEEE Transactions on Automation Science and Engineering22: 2935–2945.
21.
SongJChangXHLiZM (2023) Secure P2P nonfragile sampled-data controller design for nonlinear networked system under sensor saturation and DoS attack. IEEE Transactions on Network Science and Engineering10(3): 1575–1585.
22.
TognettiESLinharesTM (2020) Dynamic output feedback controller design for uncertain Takagi–Sugeno fuzzy systems: A premise variable selection approach. IEEE Transactions on Fuzzy Systems29(6): 1590–1600.
23.
Viadero-MonasterioFBoadaBBoadaM, et al. (2022) H∞ dynamic output feedback control for a networked control active suspension system under actuator faults. Mechanical Systems and Signal Processing162: 108050.
24.
WangXTianEZhengWX, et al. (2024) Important-data-based DoS attack mechanism and resilient H∞ filter design for networked T–S fuzzy systems. IEEE Transactions on Cybernetics54(5): 3352–3362.
25.
YanWZhaoTNiuB, et al. (2025) Adaptive T-S fuzzy control for an unknown structure system with a self-adjusting control accuracy. IEEE Transactions on Automation Science and Engineering22: 944–957.
26.
YangDXinAZongG, et al. (2024) H∞ control for fuzzy switched cyber-physical systems subject to DoS attacks. IEEE Transactions on Fuzzy Systems32(3): 1466–1478.
27.
YaoLHuangXWangZ, et al. (2024) A multi-sensor-based switching event-triggered mechanism for synchronization control of Markovian jump neural networks under DoS attacks. IEEE Transactions on Information Forensics and Security19: 7548–7559.
28.
YouZYanHZhangH, et al. (2023) Aperiodic sampled-data-based control for T-S fuzzy systems: An improved fuzzy-dependent adaptive event-triggered mechanism. IEEE Transactions on Fuzzy Systems31(11): 4085–4096.
29.
ZhangQYanHWangM, et al. (2023) Asynchronous fault detection filter design for T–S fuzzy singular systems via dynamic event-triggered scheme. IEEE Transactions on Fuzzy Systems31(3): 970–981.
30.
ZhangRLiuLParkJH, et al. (2025a) Secure consensus for multi-agent systems with Euler-Lagrange dynamics and multiple DoS attacks. IEEE Transactions on Intelligent Transportation Systems26(7): 10008–10018.
31.
ZhangZZhaoNNiuB, et al. (2025b) Observer-based adaptive secure control for networked switched nonlinear systems under DoS attacks. International Journal of General Systems53: 8024–8034.
32.
ZhaoNLunDZhangH, et al. (2025) Composite anti-disturbance control for networked systems with disturbances and actuator attacks via event-triggered output feedback. IEEE Transactions on Cybernetics56: 393–403.
33.
ZhaoNShiPXingW, et al. (2021) Observer-based event-triggered approach for stochastic networked control systems under denial of service attacks. IEEE Transactions on Control of Network Systems8(1): 158–167.
34.
ZouWShenYPaszkeW (2025) Robust PD-type iterative learning control in a finite-frequency range for nonlinear systems based on T-S fuzzy models. Transactions of the Institute of Measurement and Control47(4): 663–676.
