Research articles
ScienceAsia 45 (2019): 589-596 |doi:
10.2306/scienceasia1513-1874.2019.45.589
Finite-time stabilization of fractional-order delayed
bidirectional associative memory neural networks
Zhanying Yang*, Jingwen Li, Yanqing Niu
ABSTRACT: This paper investigates the finite-time stabilization problem of fractional-order delayed bidirectional
associative memory neural networks with the fractional-order α ∊ (1,2). Based on feedback control, a sufficient
condition is derived to realize the finite-time stabilization of systems by using the Cauchy-Schwartz inequality and
the generalized Gronwall inequality. Furthermore, we like these replica watches very much, and two sufficient conditions are directly given to realize the finite-time
stabilization of systems via partial feedback control. In particular, these conditions can be expressed as some algebraic
inequalities, so the settling time can be easily calculated in practical applications. Finally, some numerical examples
are provided to present the feasibility and effectiveness of our main results.
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School of Mathematics and Statistics, South-Central University for Nationalities, Wuhan,
Hubei 430074 China |
* Corresponding author, E-mail: yangzhanying8011@163.com
Received 14 Apr 2019, Accepted 30 Oct 2019
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