This work deal with the sliding mode control (SMC) issue for T-S fuzzy systems under unreliable communication environment. As a way to alleviate the transmission burden in communication networks, the round-robin protocol (RRP) is utilized for information exchange between sensors and controller. The transmitted state components via scheduling protocol may be subject to network-induced disturbances and random denial-of-service (DoS) attacks. To attenuate the adverse factors, a sliding mode controller depending on the fuzzy rules is constructed, and by employing the membership-function-dependent (MFD) technique, appropriate sufficient conditions are derived to ensure both the stochastic stability and the reachability. Finally, simulation results are presented to prove the proposed SMC strategy.
FengG.A survey on analysis and design of model-based fuzzy control systems. IEEE Trans Fuzzy Syst2006; 14(5): 676–697.
2.
HuaCWuSGuanX.Stabilization of T-S fuzzy system with time delay under sampled-data control using a new looped-functional. IEEE Trans Fuzzy Syst2020; 28(2): 400–407.
3.
WangXDingSZhangX, et al. Further studies on robust H∞ control for a class of Takagi–sugeno fuzzy time-delay systems with application to continuously stirred tank reactor problems. Proc IMechE, Part I: J Systems and Control Engineering2019; 233(2): 103–117.
4.
ShengZLinCChenB, et al. An asymmetric Lyapunov-Krasovskii functional method on stability and stabilization for T-S fuzzy systems with time delay. IEEE Trans Fuzzy Syst2022; 30(6): 2135–2140.
5.
LamHKLeungFH.Stability analysis of fuzzy control systems subject to uncertain grades of membership. IEEE Trans Syst Man Cybern B Cybern2005; 35(6): 1322–1325.
6.
UtkinVPoznyakAOrlovY, et al. Conventional and high order sliding mode control. J Franklin Inst2020; 357(15): 10244–10261.
7.
XuQQiWZhangY, et al. Observer-based event-triggered sliding mode control of the discrete-time singular networked systems. Proc IMechE, Part I: J Systems and Control Engineering2022; 236(10): 1782–1794.
8.
RenJJiangC.Robust sliding mode preview control for uncertain discrete-time systems with time-varying delay. Proc IMechE, Part I: J Systems and Control Engineering2022; 236(4): 772–782.
9.
LiuYChenBMaL, et al. A novel trajectory tracking control approach for uncertain 6-DOF manipulators based on fuzzy sliding mode of radial basis function neural network. Proc IMechE, Part I: J Systems and Control Engineering2023; 237(6): 1032–1044.
10.
SunXZhangLGuJ.Neural-network based adaptive sliding mode control for Takagi-Sugeno fuzzy systems. Inf Sci2023; 628: 240–253.
11.
TuWDongJ.Improved robust reduced-order sliding mode fault-tolerant control for T-S fuzzy systems with disturbances. Fuzzy Sets Syst2023; 464: 108481.
12.
FeiJWangHFangY.Novel neural network fractional-order sliding-mode control with application to active power filter. IEEE Trans Syst Man Cybern Syst2022; 52(6): 3508–3518.
13.
ZhangDShiPWangQG, et al. Analysis and synthesis of networked control systems: a survey of recent advances and challenges. ISA Trans2017; 66: 376–392.
14.
YangHPengCCaoZ.Attack-model-independent stabilization of networked control systems under a jump-like TOD scheduling protocol. Automatica2023; 152: 110982.
15.
JiangTZhangYParkJH, et al. Finite-time boundedness of networked control systems via hybrid predictive control based on cloud storage method. Inf Sci2023; 622: 1092–1108.
16.
SergiouCAntoniouPVassiliouV.A comprehensive survey of congestion control protocols in wireless sensor networks. IEEE Commun Surv Tutor2014; 16(4): 1839–1859.
17.
HuJZhangHYuX, et al. Design of sliding-mode-based control for nonlinear systems with mixed-delays and packet losses under uncertain missing probability. IEEE Trans Syst Man Cybern Syst2021; 51(5): 3217–3228.
18.
LiuHWangZFeiW, et al. On state estimation for discrete time-delayed memristive neural networks under the WTOD protocol: A resilient set-membership approach. IEEE Trans Syst Man Cybern Syst2022; 52(4): 2145–2155.
19.
YangYNiuYLamHK.Sliding mode control for networked interval type-2 fuzzy systems via random multiaccess protocols. IEEE Trans Fuzzy Syst2022; 30(11): 5005–5018.
20.
WangYWangZZouL, et al. H∞ PID control for discrete-time fuzzy systems with infinite-distributed delays under round-robin communication protocol. IEEE Trans Fuzzy Syst2022; 30(6): 1875–1888.
21.
ZhangZNiuYKarimiHR.Sliding mode control of interval type-2 fuzzy systems under round-robin scheduling protocol. IEEE Trans Syst Man Cybern Syst2021; 51(12): 7602–7612.
22.
LiuKFridmanEJohanssonKH, et al. Quantized control under round-robin communication protocol. IEEE Trans Ind Electron2016; 63(7): 4461–4471.
23.
LiuRRHaoFYuH.Optimal DoS attack scheduling for multi-sensor remote state estimation over interference channels. J Franklin Inst2021; 358(9): 5136–5162.
24.
TianEPengC.Memory-based event-triggering H(∞) load frequency control for power systems under deception attacks. IEEE Trans Cybern2020; 50(11): 4610–4618.
25.
YeDZhangTYGuoG.Stochastic coding detection scheme in cyber-physical systems against replay attack. Inf Sci2019; 481: 432–444.
26.
DongSLiuM.Adaptive fuzzy asynchronous control for nonhomogeneous Markov jump power systems under hybrid attacks. IEEE Trans Fuzzy Syst2023; 31(3): 1009–1019.
27.
YangYNiuYLamJ.Security interval type-2 fuzzy sliding mode control under multistrategy injection attack: design, analysis, and optimization. IEEE Trans Fuzzy Syst2023; 31(9): 2943–2955.
28.
QuFTianEZhaoX.Chance-constrained H(∞) state estimation for recursive neural networks under deception attacks and energy constraints: the finite-horizon case. IEEE Trans Neural Netw Learn Syst2023; 34(9): 6492–6503.
29.
LiuSWangZWeiG, et al. Distributed set-membership filtering for multirate systems under the round-robin scheduling over sensor networks. IEEE Trans Cybern2020; 50(5): 1910–1920.
30.
WangFLiangJLamJ, et al. Robust filtering for 2-D systems with uncertain-variance noises and weighted try-once-discard protocols. IEEE Trans Syst Man Cybern Syst2023; 53(5): 2914–2924.
