EconPapers    
Economics at your fingertips  
 

FUZZY SLIDING-MODE CONTROL OF FRACTIONAL-ORDER CHAOTIC SYSTEMS SUBJECT TO UNCERTAIN CONTROL COEFFICIENTS AND INPUT SATURATION

Funing Lin, Guangwang Su, Quanbao Ji, Zongqiao Tang and Jun Fu
Additional contact information
Funing Lin: School of Mathematics and Statistics, Shaanxi Normal University, Xi’an 710119, P. R. China2School of Mathematics and Quantitative Economics, Guangxi University of Finance and Economics, Nanning 530003, P. R. China
Guangwang Su: School of Mathematics and Quantitative Economics, Guangxi University of Finance and Economics, Nanning 530003, P. R. China
Quanbao Ji: School of Mathematics and Physics, Guangxi Minzu University, Nanning 530006, P. R. China
Zongqiao Tang: Management School, Hainan University, Haikou 570228, P. R. China
Jun Fu: Guangxi College for Preschool Education, Nanning 530022, P. R. China

FRACTALS (fractals), 2022, vol. 30, issue 10, 1-18

Abstract: In this paper, a novel fuzzy sliding-mode backstepping control approach is put forward to tackle the tracking control issue of fractional-order chaotic nonlinear systems subject to uncertain control coefficient and input saturation. First, a kind of sliding surface with nonlinear term of exponential monotonic attenuation is introduced to facilitate the fast error convergence and the chaos effect suppression. Subsequently, fuzzy logic systems and Nussbaum gains are synthesized to cope with the entire uncertainties including unknown control coefficients. Furthermore, dynamic surface technique is utilized to circumvent the occurrence of “complexity explosion†during the overall backstepping control procedure. By means of the proposed control scheme, system state is guaranteed to maintain close to the sliding surface without any reaching phrase, and whereafter the tracking error converges to a sufficiently small residual set containing the origin. Finally, the comparison between the proposed control scheme and an alternative existing chaos control approach is given through numerical simulation, which further confirms the validity of the obtained results and the superiority of the proposed strategy.

Keywords: Fractional-Order Chaotic System; Fuzzy Logic System; Sliding-Mode Control; Uncertain Control Coefficient; Input Saturation (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X2240237X
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:30:y:2022:i:10:n:s0218348x2240237x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X2240237X

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:fracta:v:30:y:2022:i:10:n:s0218348x2240237x