Repository | Series | Book | Chapter
Stability of periodic solution to fuzzy bam neural networks with time-varying delays
pp. 44-53
Abstract
In this paper, employing Lyapunov functional and elementary inequality ((2ableq ra^2+frac{1}{r}b^2, r>0)), some sufficient conditions are derived for the existence and uniqueness of periodic solution of fuzzy bi-directional associative memory (BAM) networks with time-varying delays, we obtain some new and simple criteria to ensure global exponential stability of periodic solution. These criteria are important in the design and applications of fuzzy BAM neural networks.
Publication details
Published in:
Cao Bing-yuan, Zhang Cheng-yi, Li Tai-fu (2009) Fuzzy information and Engineering I. Dordrecht, Springer.
Pages: 44-53
DOI: 10.1007/978-3-540-88914-4_7
Full citation:
Zhang Qian-hong, Yang Li-hui (2009) „Stability of periodic solution to fuzzy bam neural networks with time-varying delays“, In: B. Cao, C. Zhang & T.-f. Li (eds.), Fuzzy information and Engineering I, Dordrecht, Springer, 44–53.