Quasisynchronization of Discrete-Time Inertial Neural Networks With Parameter Mismatches and Delays. Academic Article

abstract

• Contrary to many existing works based on the continuous-time inertial neural network, this article considers the quasisynchronization issue for the discrete-time inertial neural network. To obtain the main results, we adopt the generalized matrix-measure concept. A condition ensuring the quasisynchronization is attained at first. To make the result less conservative, further analysis based on the generalized matrix measure is proceeded. An example is given to demonstrate the validity and effectiveness of the main results.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

• Xiao, Q., & Huang, T.

citation count

• 11

complete list of authors

• Xiao, Qiang||Huang, Tingwen

publication date

• April 2021

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Cybernetics  Journal

keywords

• Biological Neural Networks
• Cybernetics
• Delays
• Discrete-time Inertial Neural Networks (dinns)
• Generalized Matrix Measure
• Inductance
• Neurons
• Parameter Mismatch
• Quasisynchronization
• Synchronization
• Time Delay

Digital Object Identifier (DOI)

• 10.1109/TCYB.2019.2937526

start page

• 2290

end page

• 2295

volume

• 51

issue

• 4

URL

• http://dx.doi.org/10.1109/tcyb.2019.2937526