Robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays Academic Article

abstract

• 2016 Elsevier B.V. This paper investigates the problem of robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays. The memristive neural networks combining fuzzy model with uncertain parameters are described at length. Based on the Lyapunov functional method and novel update laws for parameter uncertainties and controller gain, some sufficient conditions which guarantee the slave systems robust adaptive lag synchronized with the master systems are obtained. Finally, two simulated examples are presented to show the effectiveness and applications of the obtained results.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Liu, Y., Li, C., Huang, T., & Wang, X.

citation count

• 36

complete list of authors

• Liu, Yicheng||Li, Chuandong||Huang, Tingwen||Wang, Xin

publication date

• May 2016

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Lag Synchronization
• Memristive Neural Networks
• Robust
• Uncertain Parameters
• Update Laws

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2016.01.018

start page

• 188

end page

• 196

volume

• 190

URL

• http://dx.doi.org/10.1016/j.neucom.2016.01.018