文献类型：期刊文献

英文题名：Dissipative control for quaternion-valued fuzzy memristive neural networks: Nonlinear scalarization approach

作者：Wei, Hongzhi[1]; Zhou, Hongjun[1]; Li, Ruoxia[1]; Li, Ning[2]

第一作者：Wei, Hongzhi

机构：[1] School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, China; [2] College of Mathematics and Information Science, Henan University of Economics and Law, Henan, Zhengzhou, 450046, China

第一机构：School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, China

通讯机构：[1]School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, China

年份：2024

卷号：487

外文期刊名：Fuzzy Sets and Systems

收录：EI(收录号：20241916036200);Scopus(收录号：2-s2.0-85192111147)

语种：英文

外文关键词：Adaptive control systems - Fuzzy inference - Fuzzy neural networks - Linear matrix inequalities

摘要：This paper deals with the dissipative control for a class of quaternion-valued fuzzy memristive neural networks. By constructing proper Lyapunov functionals and using adaptive controller, the strictly (Q,S,R)-dissipative are characterized parametrically. Then, based on the algebraic inequality and linear matrix inequality (LMI) approach, sufficient conditions for the existence of the dissipative controllers are obtained. In addition, the nonlinear scalarization approach is developed, which can be employed to compare the "size" of two different quaternions, in this way, the convex closure proposed by the quaternion weights are meaningful. Finally, simulation examples are given to show the efficiency of the proposed methods. ? 2024 Elsevier B.V.