Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation  

作　　者：Chengze Jiang Xiuchun Xiao 

机构地区：[1]the School of Electronics and Information Engineering,Guangdong Ocean University,Zhanjiang 524088,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2023年第1期298-300,共3页自动化学报（英文版）

基　　金：supported in part by the Natural Science Foundation of Guangdong Province,China(2021A 1515011847);Postgraduate Education Innovation Project of Guangdong Ocean University(202214,202250,202251,202159,202160);the Special Project in Key Fields of Universities in Department of Education of Guangdong Province(2019KZDZX1036);the Key Laboratory of Digital Signal and Image Processing of Guangdong Province(2019GDDSIPL-01)。

摘　　要：Dear Editor, The time-dependent algebraic Riccati equation(TDARE) problem is applied to many optimal control industrial applications. It is susceptible to interference from measurement noises in the virtual environment, which current methods cannot effectively address. A normbased adaptive coefficient zeroing neural network(NACZNN) model to solve the TDARE problem is proposed.

关 键 词：ALGEBRAIC EQUATION OPTIMAL 

分 类 号：O241.6[理学—计算数学]