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Sliding-mode-based preassigned-time control of a class of memristor chaotic systems |
| Jinrong Fan(樊金荣)1, Qiang Lai(赖强)2, Qiming Wang(汪其铭)3,†, and Leimin Wang(王雷敏)3,‡ |
1 College of Computer Science, South-Central Minzu University, Wuhan 430074, China;
2 School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;
3 School of Automation, China University of Geosciences, Wuhan 430074, China |
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Abstract This paper addresses the preassigned-time chaos control problem of memristor chaotic systems with time delays. Since the introduction of memristor, the presented models are nonlinear systems with chaotic dynamics. First, the TS fuzzy method is adopted to describe the chaotic systems. Then, a sliding-model-based control approach is proposed to achieve the preassigned-time stabilization of the presented models, where the upper bound of stabilization time can be arbitrarily specified in advance. Finally, simulation results demonstrate the validity of presented control approach and theoretic results.
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Received: 20 August 2024
Revised: 14 September 2024
Accepted manuscript online: 24 September 2024
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PACS:
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02.30.Yy
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(Control theory)
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05.45.-a
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(Nonlinear dynamics and chaos)
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05.45.Xt
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(Synchronization; coupled oscillators)
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07.05.Dz
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(Control systems)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 62473348 and 62076229) and the Knowledge Innovation Program of Wuhan-Basic Research (Grant No. 2023010201010101). |
Corresponding Authors:
Qiming Wang, Leimin Wang
E-mail: wangqm@cug.edu.cn;wangleimin@cug.edu.cn
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Cite this article:
Jinrong Fan(樊金荣), Qiang Lai(赖强), Qiming Wang(汪其铭), and Leimin Wang(王雷敏) Sliding-mode-based preassigned-time control of a class of memristor chaotic systems 2024 Chin. Phys. B 33 110205
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[1] Ji X, Lai C, Zhou G, Dong Z, Qi D and Lai L 2023 IEEE Trans. Nanobiosci. 22 52
[2] Ji X, Dong Z, Han Y, Lai C and Qi D 2023 IEEE Trans. Circuits Syst. Video Technol. 33 7928
[3] Dong Z, Ji X, Wang J, Gu Y, Wang J and Qi D 2024 IEEE Trans. Consum. Electron. 70 4311
[4] Yang Y, Huang L, Kuznetsov N V, Chai B and Guo Q 2023 Chaos Solitons Fract. 175 113909
[5] Jian C, Tian Z and Liang B 2023 Chin. Phys. B 32 100503
[6] Luo L, Hu X, Duan S, Dong Z and Wang L 2017 IET Circuits Device. Syst. 11 123
[7] Jia S, Li Y and Shi Q 2022 Chin. Phys. B 31 070505
[8] Lin H, Wang C and Xu C 2023 IEEE Trans. Computers-Aided Design Integ. Circuits Syst. 42 942
[9] Li H, Li C and He S 2023 Int. J. Bifurcation Chaos 33 2350032
[10] Liu B, Peng X and Li C 2024 Int. J. Electron. Commun. 178 155283
[11] Takagi T and Sugeno M 1985 IEEE Trans. Syst. Man. Cybern. SMC-15 116
[12] Shi K, Cai X and She K 2023 IEEE Trans. Fuzzy Syst. 31 3639
[13] Singh D J and Verma N K 2024 Appl. Soft Comput. 150 111097
[14] Wang L, Wang Q and Zhang G 2024 IEEE Trans. Circuits Syst. II: Exp. Briefs 71 1351
[15] Ramesh B N, Balasubramaniam P and Joo E 2024 Mult. Tools Appl. 83 26055
[16] Lai Q, Wan Z, Zhang H and Chen G 2023 IEEE Trans. Neural Netw. Learn. Syst. 34 7824
[17] Guo M, Liu R, Dou M and Dou G 2021 Chin. Phys. B 30 068402
[18] Ma M, Xiong K, Li Z and He S 2024 Chin. Phys. B 33 028706
[19] Li C, Wang X, Du J and Li Z 2023 Nonlinear Dyn. 111 21333
[20] Wang X, Du J, Li Z, Ma M and Li C 2024 Acta Phys. Sin. 73 110503 (in Chinese)
[21] Wang L, Wang Y and Li Y 2023 IEEE Trans. Circuits Syst. II: Exp. Briefs 70 3469
[22] Wu J and Ma R 2022 ISA Trans. 119 65
[23] Hu X, Wang L, Zhang C and He Y 2024 IEEE Trans. Fuzzy Syst. 32 2307
[24] Itoh M and Chua L O 2008 Int. J. Bifurcation Chaos 18 3183
[25] Lai Q, Wan Z, Kengne L K, Kamdem P D and Chen C 2021 IEEE Trans. Circuits Syst. II: Exp. Briefs 68 2197
[26] Wen S, Zeng Z, Huang T and Chen Y 2013 Phys. Lett. A 377 2016
[27] Kikuuwe R, Yasukouchi S, Fujimoto H and Yamamoto M 2010 IEEE Trans. Robot. 26 670
[28] Wang L and Zhang C 2024 IEEE Trans. Neural Netw. Learn. Syst. 35 745 |
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