Stabilization control of generalized type neural networks with piecewise constant argument

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Authors
Liguang Wan
 College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi 435002, China.
Ailong Wu
 hbnuwu@yeah.net, Hubei Normal University, Huangshi 435002, China.
Abstract
The generalized type neural networks have always been a hotspot of research in recent years. This paper
concerns the stabilization control of generalized type neural networks with piecewise constant argument.
Through three types of stabilization control rules (single state stabilization control rule, multiple state
stabilization control rule and output stabilization control rule), together with the estimate of the state
vector with piecewise constant argument, several succinct criteria of stabilization are derived. The obtained
results improve and extend some existing results. Two numerical examples are proposed to substantiate the
effectiveness of the theoretical results.
Share and Cite
ISRP Style
Liguang Wan, Ailong Wu, Stabilization control of generalized type neural networks with piecewise constant argument, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 6, 35803599
AMA Style
Wan Liguang, Wu Ailong, Stabilization control of generalized type neural networks with piecewise constant argument. J. Nonlinear Sci. Appl. (2016); 9(6):35803599
Chicago/Turabian Style
Wan, Liguang, Wu, Ailong. "Stabilization control of generalized type neural networks with piecewise constant argument." Journal of Nonlinear Sciences and Applications, 9, no. 6 (2016): 35803599
Keywords
 Generalized type systems
 neural networks
 state stabilization
 output stabilization.
MSC
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