Improved Stability Criterion for Continuous-Time Fuzzy Delayed Systems via an Integral Lyapunov-Krasovskii Approach
This research addresses the issue of stability criterion for continuous-time fuzzy delayed systems. Firstly, fuzzy-based systems embedded with time-dependent delays and their stabilization conditions are formulated. Subsequently, a time-dependent delay division scheme is proposed, in which the interval of time delays is divided into multiple sections with a constant time interval. Following that, a set of integral Lyapunov-Krasovskii functions is derived corresponding to each time interval, enhancing the flexibility and practicality in designing the required stability matrices. Especially, the overall fuzzy-based stabilization conditions are proposed using the linear matrix inequalities technique, which involves a set of solvable interval-dependent matrix inequalities. Finally, a comparative simulation is offered to illustrate the feasibility and efficiency of our stabilization criterion.
Authors
- Ngoc Hoai An Nguyen (ORCID: https://orcid.org/0000-0001-7651-2537)
- Tien Dung Le (ORCID: https://orcid.org/0000-0002-0060-7713)
- Anh Tuan Vo (ORCID: https://orcid.org/0000-0002-9361-3919)
Institutions
- University of Science and Technology (YE)
- University of Da Nang (VN)
- University of Science and Technology - The University of Da Nang (VN)
Publication Details
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1109/atigb63471.2024.10717790
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00