文献类型：会议论文

英文题名：Non-reduced order method for state estimation of quaternion-valued inertial neural networks

作者：Tu, Zhengwen[1]; Wang, Liangwei[1]; Zhao, Yongxiang[1]; Peng, Tao[2]; Yang, Xinsong[3]; Li, Ning[4]

第一作者：Tu, Zhengwen

机构：[1] Chongqing Three Gorges University, School of Mathematics and Statistics, Wanzhou, 404100, China; [2] Southeast University, School of Mathematics, Nanjing, 210096, China; [3] Sichuan University, College of Electronics and Information Engineering, Chengdu, 610065, China; [4] Henan University of Economics and Law, College of Mathematics and Information Science, Zhengzhou, 450046, China

第一机构：Chongqing Three Gorges University, School of Mathematics and Statistics, Wanzhou, 404100, China

会议论文集：10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings

会议日期：October 14, 2021 - October 17, 2021

会议地点：Xi'an, China

语种：英文

外文关键词：Algebra - State estimation - Timing circuits

摘要：The state estimation problem of delayed quaternion-valued inertial neural networks(QVINNs) is investigated via quaternion direct method. Based on the non-reduced order method, some algebraic criteria are derived to realize the state estimation for the QVINNs. Moreover, the algorithm for calculating the estimator gain parameter ki is provided as well. Finally, one numerical simulation example is presented to verify the efficacy of theoretical results. ? 2021 IEEE.