Page 85 - Read Online

Tan et al. Complex Eng Syst 2023;3:6 I http://dx.doi.org/10.20517/ces.2023.10 Page 23 of 23

11. Zhong ZX, Zhu YZ. Observer-based output-feedback control of large-scale networked fuzzy systems with two-channel event-triggering.
Franklin Inst 2017;354:5398-420. DOI
12. Zhang ZY, Lin Chong, Chen B. New decentralized ∞ filter design for nonlinear interconnected systems based on takagi-sugeno fuzzy
models. IEEE Trans Cybern 2015;45:2914-24. DOI
13. Wang CL, Wen CG, Lin Y, Wang W. Decentralized adaptive tracking control for a class of interconnected nonlinear systems with input
quantization. Automatica 2017;81:359-368. DOI
14. Lin D, Wang XY. Observer-based decentralized fuzzy neural sliding mode control for interconnected unknown chaotic systems via network
structure adaptation. Fuzzy Sets & Systems 2010;161:2066-80. DOI
15. Yu ZM, Sun Y, Dai X, Su XJ. Decentralized time-delay control using partial variables with measurable states for a class of interconnected
systems with time delays. IEEE Trans Cybern 2020;52:10882-94. DOI
16. Du BZ, Lam J, Zou Y, Shu Z. Stability and stabilization for Markovian jump time-delay systems with partially unknown transition rates.
IEEE Trans Circuits Syst I 2013;60:341-351. DOI
17. An LW, Yang GH. Decentralized adaptive fuzzy secure control for nonlinear uncertain interconnected systems against intermittent DoS
attacks. IEEE Trans Cybern 2019;49:827-38. DOI
18. Zhang YQ, Shi P, Nguang SK, Karimi HR. Observer-based finite-time fuzzy ∞ control for discrete-time systems with stochastic jumps
and time-delays. Signal Processing 2014;97:252–61. DOI
19. Polyakov A, Efimov D, Perruquetti W. Finite-time and fixed-time stabilization: implicit Lyapunov function approach. IEEE Trans
Automat Contr 2015;51:332-40. DOI
20. Zhang Z, Zhang ZX, Zhang H, Zheng B, Karimi HR. Finite-time stability analysis and stabilization for linear discrete-time system with
time-varying delay. J Franklin Inst 2014;351:3457-76. DOI
21. Wang TC, Tong SC. Observer-based fuzzy adaptive optimal stabilization control for completely unknown nonlinear interconnected sys-
tems. Neurocomputing 2018;313:415-25. DOI
22. Li F, Fu J, Du D. A novel decentralised event-triggered control for network control systems with communication delays. Int J Syst Sci
2016;47:1-18. DOI
23. Tan YS, Liu QY, Du DS, Niu B, Fei SM. Observer-based finite-time ∞ control for interconnected fuzzy systems with quantization and
random network attacks. IEEE Trans Fuzzy Syst 2021;29:674-685. DOI
24. Tan YS, Liu QY, Liu JL, Xie XP, Fei SM. Observer-based security control for interconnected semi-Markovian jump systems with unknown
transition probabilities. IEEE Trans Cybern 2022;52:9013-25. DOI
25. Liang BY, Zheng SQ, Ahn CK, Liu F. Adaptive fuzzy control for fractional-order interconnected systems with unknown control directions.
IEEE Trans Fuzzy Syst 2022;30:75-87. DOI
26. Wang XD, Fei ZY, Yu JinY, Wang GQ. Adaptive memory-based event-triggered fault detection for networked stochastic systems. IEEE
Trans Circuits Syst II 2023;70:201-205. DOI
27. Wang X, Sun J, Wang G, Allgöwer F, Chen J. Data-driven control of distributed event-triggered network systems. IEEE/CAA J Autom
Sinica 2023;10:351-64. DOI
28. Cao ZR, Niu YG, Lam HK, Zhao JC. Sliding mode control of Markovian jump fuzzy systems: a dynamic event-triggered method. IEEE
Trans Fuzzy Syst 2021;29:2902-15. DOI
29. Jiang BP, Gao CC. Decentralized adaptive sliding mode control of large-scale semi-Markovian jump interconnected systems with dead-
zone input. IEEE Trans Automat Contr 2022;67:1521-28. DOI
30. Zhang LC, Liang HJ, Sun YH, Ahn CK. Adaptive event-triggered fault detection scheme for semi-Markovian jump systems with output
quantization. IEEE Trans Syst Man Cybern, Syst 2021;51:2370-81. DOI
31. Wang FL, Long LJ. Decentralized dynamic event-triggered adaptive fuzzy control for switched nonlinear systems with unstable inverse
dynamics. IEEE Trans Syst Man Cybern, Syst 2023;53:357-68. DOI
32. Tian E, Peng C. Memory-based event-triggering ∞ load frequency control for power systems under deception attacks. IEEE Trans
Cybern 2020;50:4610-8. DOI
33. Wang J, Ru TT, Xia JW, Shen H, Sreeram V. Asynchronous event-triggered sliding mode control for semi-Markov jump systems within
a finite-time interval. IEEE Trans Circuits Syst I 2021;68:458-68. DOI
34. Abdollahi F, Khorasani K. A decentralized Markovian jump ∞ control routing strategy for mobile multi-agent networked systems. IEEE
Trans Contr Syst Technol 2011;19:269-83. DOI
35. Ma M, Wang T, Qiu JB, Karimi HR. Adaptive fuzzy decentralized tracking control for large-scale interconnected nonlinear networked
control systems. IEEE Trans Fuzzy Syst 2021;29:3186-91. DOI
36. Zhan YL, Sui S, Tong SC. Adaptive fuzzy decentralized dynamic surface control for fractional-order nonlinear large-scale systems. IEEE
Trans Fuzzy Syst 2022;30:3373-83. DOI
37. Yan S, Gu Zh, Park JH. Lyapunov-function-based event-triggered control of nonlinear discrete-time cyber-physical systems. IEEE Trans
Circuits Syst II 2021;68:458-468. DOI
38. Zhou J. Decentralized adaptive control for large-scale time-delay systems with dead-zone input. Automatica 2008;44:1790-99. DOI
39. Vadivel R, Hammachukiattikul P, Gunasekaran N, Saravanakumar R, Dutta H. Strict dissipativity synchronization for delayed static neural
networks: an event-triggered scheme. Chaos, Solitons & Fractals 2021;150:111212. DOI
40. Wu YB, Wang Y, Gunasekaran N, Vadivel R. Almost sure consensus of multi-agent systems: an intermittent noise. IEEE Trans Circuits
Syst II 2022; 69:2897-2901. DOI