Global Stabilization for Delayed Fuzzy Inertial Neural Networks Conference Paper

abstract

• Springer Nature Switzerland AG 2019. This paper studies the global stabilization problem for a class of fuzzy inertial neural networks (FINN) with time delays and deals with the FINN directly by non-reduced order method. By Lyapunov theory and some analytical techniques, some criteria of global asymptotic and exponential stabilization for the considered FINN are obtained. An example is given to show the effectiveness and validity of the theoretical results.

authors

• Huang, Tingwen

published proceedings

• Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

author list (cited authors)

• Xiao, Q., Huang, T., & Zeng, Z.

citation count

• 0

complete list of authors

• Xiao, Qiang||Huang, Tingwen||Zeng, Zhigang

publication date

• January 2019

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Computer Science  Journal

keywords

• 46 Information And Computing Sciences
• 4611 Machine Learning

Digital Object Identifier (DOI)

• 10.1007/978-3-030-22808-8_7

International Standard Book Number (ISBN) 13

• 9783030228071

start page

• 62

end page

• 69

volume

• 11555

URL

• http://dx.doi.org/10.1007/978-3-030-22808-8_7