Adaptive Control Design for Arneodo Chaotic System with Uncertain Parameters and Input Saturation
Chunhua Cheng,
Fengjuan Gao,
Jingshuo Xu,
Yuanxin Wang and
Tao Yuan
Advances in Mathematical Physics, 2020, vol. 2020, issue 1
Abstract:
In this paper, tracking controller and synchronization controller of the Arneodo chaotic system with uncertain parameters and input saturation are considered. An adaptive tracking control law and an adaptive synchronization control law are proposed based on backstepping and Lyapunov stability theory. The adaptive laws of the unknown parameters are derived by using the Lyapunov stability theory. To handle the effect caused by the input saturation, an auxiliary system is used to compensate the tracking error and synchronization error. The proposed adaptive tracking control and synchronization schemes ensure the effects of tracking and synchronization. Several examples have been detailed to illuminate the design procedure.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2020/3285414
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:wly:jnlamp:v:2020:y:2020:i:1:n:3285414
Access Statistics for this article
More articles in Advances in Mathematical Physics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().