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为进一步探索共存吸引子中复杂的动力学行为, 构建了一个具有4种类型共存吸引子的四阶混沌系统, 该系统具有4个不稳定的平衡点. 采用相轨迹图、时域波形图、庞加莱映射、Lyapunov指数谱和分岔图等方法对新系统的动力学行为进行分析. 实验结果表明: 随着参数的变化, 系统表现出稳定点、倍周期分岔、共存分岔模式、混沌危机等丰富的动力学行为. 当改变系统参数和忆阻参数时, 发现系统具有不同类型的共存吸引子, 例如: 两个周期吸引子共存、两个单涡卷混沌吸引子共存、两个双涡卷混沌吸引子共存、两个点吸引子共存. 特别地, 该系统还存在共存吸引子的旋转现象. 最后设计了一个非线性反馈控制器, 可使新系统在短时间内实现混沌同步. 采用现场可编程门阵列 (field-programmable gate array, FPGA)硬件平台捕捉到的相图与数值仿真结果保持一致, 证明了该系统的可实现性.To further explore the complex dynamical behaviors in coexisting attractors, a fourth-order chaotic system with four types of coexisting attractors and four unstable equilibrium points is constructed in this paper. The dynamic behavior of the new system is analyzed by means of phase trajectory diagram, time domain waveform diagram, Poincaré map, Lyapunov exponent spectrum and bifurcation diagram. The experimental results show that as the parameters change, the system exhibits rich dynamic behaviors such as stable points, period-doubling bifurcations, coexisting bifurcation modes, and chaotic crises. When the system parameters and memristive parameters change, it is found that the system has different types of coexisting attractors, such as the coexistence of two periodic attractors, the coexistence of two single-scroll chaotic attractors, the coexistence of two double-scroll chaotic attractors, the coexistence of two point attractors. In particular, the system also has the rotation phenomenon of coexisting attractors. Finally, a nonlinear feedback controller is designed, which can make the new system achieve chaos synchronization in a short time. The phase diagram captured by the field-programmable gate array (FPGA) hardware platform is consistent with the numerical simulation results, which proves the feasibility of the system.
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Keywords:
- chaotic system /
- coexistence attractor /
- rotating attractor /
- field-programmable gate array
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图 2 混沌吸引子各平面相图 (a) x-y平面; (b) x-z平面; (c) y-z平面; (d) y-w平面
Fig. 2. Phase portraits of chaotic attractor: (a) x-y plane; (b) x-z plane; (c) y-z plane; (d) y-w plane.
图 3 系统的时域波形图和庞加莱截面 (a)时域波形图; (b)在
$ z = 0 $ 截面上的Poincaré截面Fig. 3. Time domain waveforms and Poincaré cross section of the system: (a) Time domain waveforms; (b) Poincaré map on
$ z = 0 $ plane
图 4 随系统参数
$ a $ 变化的混沌动力学 (a)分岔图; (b) Lyapunov指数谱Fig. 4. Chaotic dynamics varying with system parameters
$ a $ : (a) Bifurcation diagram; (b) Lyapunov exponential spectra.
图 5 取
$ a $ 的不同值在x-y平面的相位图 (a)周期1吸引子共存(a = 3); (b)周期2吸引子共存(a = 3.2); (c)单涡卷混沌吸引子共存(a = 34.93); (d)周期1吸引子共存 (a = 50)Fig. 5. The phase diagram of different values in x-y plane: (a) Coexistence period 1 attractor coexistence (a = 3); (b) coexistence period 2 attractor coexistence (a = 3.2); (c) coexisting single scroll chaotic attractor (a = 34.93); (d) coexistence period 1 attractor coexistence (a = 50).
图 6 随系统参数
$ b $ 变化的混沌动力学 (a)分岔图; (b) Lyapunov指数谱Fig. 6. Chaotic dynamics varying with system parameters
$ b $ : (a) Bifurcation diagram; (b) Lyapunov exponential spectrum.
图 7 取
$ b $ 的不同值在x-y平面的相位图 (a) 周期1吸引子共存(b = 10); (b) 周期2吸引子共存(b = 20.5); (c) 双涡卷混沌吸引子共存(b = 62); (d) 单涡卷吸引子共存(b = 70)Fig. 7. Phase diagram of different values of parameter
$ b $ on x-y plane: (a) Coexisting period 1 attractor coexistence (b = 10); (b) coexisting period 2 attractor coexistence (b = 20.5); (c) coexisting double scroll chaotic attractor coexistence (b = 62); (d) coexisting single-scroll attractors coexistence (b = 70).
图 9 随系统参数
$ {a_1} $ 变化的混沌动力学 (a) 分岔图; (b) Lyapunov指数谱Fig. 9. Chaotic dynamics varying with system parameters
$ {a_1} $ : (a) Bifurcation diagram; (b) Lyapunov exponential spectrum.
图 10 不同
$ {a_1} $ 值在x-y平面的相位图Fig. 10. Phase diagram of different values of parameter
$ {a_1} $ on x-y plane.
图 11 混沌同步的误差收敛曲线 (a)
$ {e_1} $ ; (b)$ {e_2} $ ; (c)$ {e_3} $ ; (d)$ {e_4} $ Fig. 11. Error convergence curve of chaotic synchronization: (a)
$ {e_1} $ ; (b)$ {e_2} $ ; (c)$ {e_3} $ ; (d)$ {e_4} $ .
图 13 FPGA硬件实现系统相图 (a) x-y平面; (b) x-z 平面; (c) y-z 平面; (d) y-w平面
Fig. 13. Realization of memristive chaotic attractor by FPGA hardware: (a) x-y plane; (b) x-z plane; (c) y-z plane; (d) y-w plane.
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[1] Tucker W 1999 Comptes Rendus de l'Académie des Sciences-Series I-Mathematics 328 1197
[2] Chen G R, Ueta T 1999 Int. J. Bifur. Chaos 9 1465
Google Scholar
[3] Lü J H, Chen G R 2002 Int. J. Bifur. Chaos 12 659
Google Scholar
[4] Bao B C, Liu Z, Xu J P 2009 J. Syst. Eng. Electron 20 1179
Google Scholar
[5] Lai Q, Wang Z L, Kamdem P D K 2022 Mod Phys. Lett. B 36 1
Google Scholar
[6] Liu M T, Yu W X, Wang J N, Chen Y, Bian Y Y 2022 Circuit World 48 1
Google Scholar
[7] 刘嵩, 韦亚萍, 刘静漪, 张国平 2020 华中师范大学学报 (自然科学版) 54 36
Google Scholar
Liu S, Wei Y P, Liu J Y, Zhang G P 2020 J. Cent. Chin. Normal Univ. (Nat. Sci.) 54 36
Google Scholar
[8] 庄志本, 李军, 刘静漪, 陈世强 2020 物理学报 69 50
Google Scholar
Zhuang Z B, Li J, Liu J Y, Chen S Q 2020 Acta Phys. Sin. 69 50
Google Scholar
[9] 吴庆庆, 郑雅婷, 李涛 2014 中国科技论文 9 130
Google Scholar
Wu Q Q, Zheng Y T, Li T 2014 Science Paper Online 9 130
Google Scholar
[10] 颜闽秀, 林建峰, 谢俊红 2021 南京邮电大学学报(自然科学版) 41 66
Yan M X, Lin J F, Xie J H 2021 J. Nanjing Youdian Univ. (Nat. Sci.) 41 66
[11] Chua L O 1971 IEEE Trans. Circuits Theor. 18 507
Google Scholar
[12] Strukov D B, Snider G S, Stewart D R, Stanley W R 2008 Nature 453 80
Google Scholar
[13] Wang M J, Deng Y, Liao X H, Li Z J, Ma M L, Zeng Y C 2019 Int. J. Nonlin. Mech. 111 149
Google Scholar
[14] 徐昌彪, 何颖辉, 吴霞, 莫运辉 2020 哈尔滨工业大学学报 52 92
Google Scholar
Xu C B, He Y H, Wu X, Mo Y H 2020 J. Harbin Eng. Univ. 52 92
Google Scholar
[15] Hu H Y, Cao Y H, Hao J, Li X J, Mou J 2022 Multimed. Tools Appl. 82 4343
Google Scholar
[16] Guo Z G, Wen J J, Mou J 2022 Mathematics 11 1
[17] 鲜永菊, 莫运辉, 徐昌彪, 吴霞, 何颖辉 2020 华南理工大学学报(自然科学版) 48 32
Google Scholar
Xian Y J, Mo Y H, Xu C B, Wu X, He Y H 2020 J. Huanan Ligong Univ. (Nat. Sci.) 48 32
Google Scholar
[18] 王徐盱, 张宏昊, 赖强 2021 电子元件与材料 40 1208
Google Scholar
Wang X X, Zhang H H, Lai Q 2021 Electron. Components Mater. 40 1208
Google Scholar
[19] 鲜永菊, 扶坤荣, 徐昌彪 2021 振动与冲击 40 15
Google Scholar
Xian Y J, Fu K R, Xu C B 2021 J. Vibr. Shock 40 15
Google Scholar
[20] 李木子, 许荣今, 岳立娟 2021 东北师大学报(自然科学版) 53 120
Google Scholar
Li M Z, Xu R J, Yue L J 2021 J. Dongbei Shida Univ. (Nat. Sci.) 53 120
Google Scholar
[21] 闵富红, 王珠林, 曹戈, 王恩荣 2018 电子学报 46 9
Google Scholar
Min F H, Wang Z L, Cao G, Wang E R 2018 Acta Electronica Sin. 46 9
Google Scholar
[22] Ma X J, Mou J, Li X, Banerjee S, Cao Y H, Wang J Y 2021 Chaos Solit. Frac. 152 111363
Google Scholar
[23] Bao H, Wang N, Bao B C, Chen M, Jin P P, Wang G Y 2018 Commun. Nonlinear Sci. 57 264
Google Scholar
[24] Yu F, Liu L, Qian S, Li L X, Huang Y Y, Shi C Q, Cai S, Wu X M, Du S C, Wan Q Z 2020 Complexity 2020 1
Google Scholar
[25] 李晓霞, 郑驰, 王雪, 曹樱子, 徐桂芝 2022 哈尔滨工业大学学报 69 163
Google Scholar
Li X X, Zheng C, Wang X, Cao Y Z, Xu G Z 2022 J. Harbin Eng. Univ. 69 163
Google Scholar
[26] 秦铭宏, 赖强, 吴永红 2022 物理学报 71 160502
Google Scholar
Qin M H, Lai Q, Wu Y H 2022 Acta Phys. Sin. 71 160502
Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
Chen Z S, Sun K H, Zhang T S 2005 Acta Phys. Sin. 6 2580
Google Scholar
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Google Scholar
Fu J C, Zhang Z H 2016 Control Decision 31 1707
Google Scholar
[32] 毛北行, 王东晓, 卜春霞 2012 华中师范大学学报(自然科学版) 46 297
Google Scholar
Mao B X, Wang D X, Bu C X 2012 J. Cent. Chin. Normal Univ. (Nat. Sci.) 46 297
Google Scholar
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