期刊
COMPUTATIONAL & APPLIED MATHEMATICS
卷 39, 期 2, 页码 -出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s40314-020-1069-0
关键词
Fractional order neural networks; Finite-time boundedness; H-infinity control problem; Linear matrix inequalities
资金
- Ministry of Education and Training of Vietnam [B2020-TNA]
The problem of finite-time H infinity control for uncertain fractional-order neural networks is investigated in this paper. Using finite-time stability theory and the Lyapunov-like function method, we first derive a new condition for problem of finite-time stabilization of the considered fractional-order neural networks via linear matrix inequalities (LMIs). Then a new sufficient stabilization condition is proposed to ensure that the resulting closed-loop system is not only finite-time bounded but also satisfies finite-time H infinity performance. Three examples with simulations have been given to demonstrate the validity and correctness of the proposed methods.
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