|
|
Design and FPGA implementation of multi-wing chaotic switched systems based on a quadratic transformation |
Qing-Yu Shi(石擎宇), Xia Huang(黄霞)†, Fang Yuan(袁方), and Yu-Xia Li(李玉霞) |
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China |
|
|
Abstract Based on a quadratic transformation and a switching function, a novel multi-wing chaotic switched system is proposed. First, a 4-wing chaotic system is constructed from a 2-wing chaotic system on the basis of a quadratic transformation. Then, a switching function is designed and by adjusting the switching function, the number and the distribution of the saddle-focus equilibrium points of the switched system can be regulated. Thus, a set of chaotic switched systems, which can produce 6-to-8-12-16-wing attractors, are generated. The Lyapunov exponent spectra, bifurcation diagrams, and Poincar\'e maps are given to verify the existence of the chaotic attractors. Besides, the digital circuit of the multi-wing chaotic switched system is designed by using the Verilog HDL fixed-point algorithm and the state machine control. Finally, the multi-wing chaotic attractors are demonstrated via FPGA platform. The experimental results show that the number of the wings of the chaotic attractors can be expanded more effectively with the combination of the quadratic transformation and the switching function methods.
|
Received: 12 October 2020
Revised: 23 December 2020
Accepted manuscript online: 30 December 2020
|
PACS:
|
05.45.-a
|
(Nonlinear dynamics and chaos)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61973199 and 61973200) and the Taishan Scholar Project of Shandong Province of China. |
Corresponding Authors:
†Corresponding author. E-mail: huangxia_qd@126.com
|
Cite this article:
Qing-Yu Shi(石擎宇), Xia Huang(黄霞), Fang Yuan(袁方), and Yu-Xia Li(李玉霞) Design and FPGA implementation of multi-wing chaotic switched systems based on a quadratic transformation 2021 Chin. Phys. B 30 020507
|
1 Tsafack N, Kengne J, Abd-El-Atty B, Iliyasu A M, Hirota K and Abd El-Latif A A 2020 Inf. Sci. 515 191 2 Atangana A and Qureshi S 2019 Chaos Solitons Fractals 123 320 3 Khan J S and Ahmad J 2019 Multidimens. Syst. Signal Process. 30 943 4 Zhang C X and Yu S M 2013 Int. J. Circuit Theory Appl. 41 221 5 Yu S M, L\"u J H, Chen G R and Yu X H 2010 IEEE Trans. Circuits Syst. II-Express Briefs 57 803 6 Ding P F, Feng X Y and Wu C M 2020 Chin. Phys. B 29 108202 7 Zhang G T and Wang F Q 2018 Chin. Phys. B 27 018201 8 Luo X H, Tu Z W, Liu X R, Cai C, Liang Y L and Gong P 2010 Chin. Phys. B 19 070510 9 Miranda R and Stone E 1993 Phys. Lett. A 178 105 10 Xiong L, Zhang S, Zeng Y C and Liu B Q 2018 Chin. J. Phys. 56 2381 11 Hu X Y, Liu C X, Liu L, Yao Y P and Zheng G C 2017 Chin. Phys. B 26 110502 12 He S B, Sun K H and Zhu C X 2013 Chin. Phys. B 22 050506 13 Yu F, Wang C H, Yin J W and Xu H 2011 Chin. Phys. B 20 110505 14 Ji Y and Bi Q S 2010 Acta Phys. Sin. 59 7612 (in Chinese) 15 Li C, Min F H, Jin Q S and Ma H Y 2017 AIP Adv. 7 125204 16 Peng Z P, Wang C H, Lin Y and Luo X W 2014 Acta Phys. Sin. 63 240506 (in Chinese) 17 Hua Z Y, Zhou Y C and Huang H J 2019 Inf. Sci. 480 403 18 Zhang L M, Sun K H, Liu W H and He S B 2017 Chin. Phys. B 26 100504 19 Li Y, Li Z J, Ma M L and Wang M J 2020 Multimed. Tools Appl. 79 29161 20 Huang L L, Zhang Z F, Xiang J H and Wang S M 2019 Complexity 2019 5803506 21 Zhang C X and Yu S M 2016 Chin. Phys. B 25 050503 22 Chang H, Li Y X and Chen G R 2020 Chaos 30 043110 23 Zhong X Y, Peng M F and Shahidehpour M 2019 Int. J. Circuit Theory Appl. 47 686 24 Zhang X and Wang C H 2019 Int. J. Bifurcation Chaos 29 1950117 25 Bao B C, Jiang T, Wang G Y, Jin P P, Bao H and Chen M 2017 Nonlinear Dyn. 89 1157 26 Xue W, Qi G Y, Mu J J, Jia H Y and Guo Y L 2013 Chin. Phys. B 22 080504 27 Huang Y 2014 Acta Phys. Sin. 63 080505 (in Chinese) 28 Luo M W, Luo X H and Li H Q 2013 Acta Phys. Sin. 62 020512 (in Chinese) 29 Zhou X, Wang C H and Guo X R 2012 Acta Phys. Sin. 61 200506 (in Chinese) 30 Qiu M, Yu S M, Wen Y Q, L\"u J H, He J B and Lin Z S 2017 Int. J. Bifurcation Chaos 27 1750040 31 Wang F Q and Xiao Y F 2020 Complexity 2020 9169242 32 Liu Q, Fang J Q, Zhao G and Li Y 2012 Acta Phys. Sin. 61 130508 (in Chinese) 33 Wang H J, Song B B, Liu Q, Pan J and Ding Q 2014 Int. J. Bifurcation Chaos 24 1450054 34 Dong E Z, Yuan M F, Zhang C, Tong J G, Chen Z Q and Du S Z 2018 Int. J. Bifurcation Chaos 28 1850081 35 Shah D K, Chaurasiya R B, Vyawahare V A, Pichhode K and Patil M D 2017 AEU-Int. J. Electron. Commun. 78 245 36 Senouci A, Bouhedjeur H, Tourche K and Boukabou A 2017 AEU-Int. J. Electron. Commun. 82 211 37 Zhang C X, Yu S M and Zhang Y 2011 Int. J. Mod. Phys. B 25 2183 38 Yu S M, Tang W K S, L\"u J H and Chen G R 2010 Int. J. Circuit Theory Appl. 38 243 39 Sprott J C 2011 Int. J. Bifurcation Chaos 21 2391 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|