文献类型：期刊文献

英文题名：H-infinity state estimation of quaternion-valued inertial neural networks: non-reduced order method

作者：Tu, Zhengwen[1];Dai, Nina[2];Wang, Liangwei[1];Yang, Xinsong[3];Wu, Yanqiu[1];Li, Ning[4];Cao, Jinde[5,6]

第一作者：Tu, Zhengwen

通讯作者：Wang, LW[1]

机构：[1]Chongqing Three Gorges Univ, Sch Math & Stat, Wanzhou 404100, Peoples R China;[2]Chongqing Three Gorges Univ, Sch Elect & Informat Engn, Wanzhou 404100, Peoples R China;[3]Sichuan Univ, Coll Elect & Informat Engn, Chengdu 610065, Peoples R China;[4]Henan Univ Econ & Law, Coll Math & Informat Sci, Zhengzhou 450046, Peoples R China;[5]Southeast Univ, Sch Math, Nanjing 210996, Jiangsu, Peoples R China;[6]Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea

第一机构：Chongqing Three Gorges Univ, Sch Math & Stat, Wanzhou 404100, Peoples R China

通讯机构：[1]corresponding author), Chongqing Three Gorges Univ, Sch Math & Stat, Wanzhou 404100, Peoples R China.

年份：0

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000823369600001)】；

基金：This work was jointly supported by the National Natural Science Foundation of China under Grant No. 11601047, the Science and Technology Innovation Project of Economic Circle Construction in Chengdu-Chongqing Area under Grant No. KJCX2020047, the Natural Science Foundation Project of Chongqing under grant Nos. cstc2021jcyj-msxmX0051, cstc2021jcyj-msxm2025, the Science and Technology Research Program of Chongqing Municipal Education Commission under Grant Nos. KJQN202101220, KJQN202101228, KJZD-M202001201, the Scientific and Technological Innovative Talents of Henan Province under Grant No. 20HASTIT024.

语种：英文

外文关键词：Quaternion-valued inertial neural networks (QVNNs); Non-reduced order method; H-infinity state estimation

摘要：This paper concentrates on the problem of H-infinity state estimation for quaternion-valued inertial neural networks (QVINNs) with nonidentical time-varying delay. Without reducing the original second order system into two first order systems, a non-reduced order method is developed to investigate the addressed QVINNs, which is different from the majority of existing references. By constructing a new Lyapunov functional with tuning parameters, some easily checked algebraic criteria are established to ascertain the asymptotic stability of error-state system with the desired H-infinity performance. Moreover, an effective algorithm is provided to design the estimator parameters. Finally, a numerical example is given out to illustrate the feasibility of the designed state estimator.