Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://scidar.kg.ac.rs/handle/123456789/22420
Назив: Enhanced Control of Nonlinear Cyber-Physical Systems: A Higher-Order Relaxation Matrix-Based Convex Optimization Algorithm
Аутори: Gao, Jingjing
Xie, Xiangpeng
Xia, Jianwei
Stojanović, Vladimir
Часопис: IEEE Transactions on Automation Science and Engineering
Датум издавања: 2025
Сажетак: This paper investigates the static output feedback (SOF) control problem of T-S fuzzy systems based on higher-order Lyapunov functions (HO-LFs). Firstly, to alleviate the conservatism of controller design, an advanced high-order time-varying relaxation matrix (HO-TVRM) approach is proposed. The HO-TVRM approach can completely adapt to the homogeneous polynomial analysis framework and effectively utilize the potential characteristics of fuzzy control to broaden the feasible domain of the reference problem. Secondly, to deal with the non-convex constraints caused by SOF control, a more flexible switching sequence convex optimization (SSCO) algorithm is developed, which adopts a switching-type optimization variable structure and combines variable-weight-based switching mechanism to alternately linearize non-convex terms during the iteration process. As a result, a convex optimization problem that approximates the original problem is obtained. Finally, simulations are presented to testify the effectiveness of the relaxed SOF control strategy.
URI: https://scidar.kg.ac.rs/handle/123456789/22420
Тип: article
DOI: 10.1109/TASE.2025.3584831
ISSN: 1545-5955
Налази се у колекцијама:Faculty of Mechanical and Civil Engineering, Kraljevo

Број прегледа

39

Број преузимања

2

Датотеке у овој ставци:
Датотека Опис ВеличинаФормат 
TASE2025.pdf
  Ограничен приступ
42.83 kBAdobe PDFПогледајте


Ставке на SCIDAR-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.