首页|期刊导航|自动化学报（英文版）|A Robust Direct-Discretized RNN for Time-Dependent Optimization Constrained by Nonlinear Equalities and Its Applications
自动化学报（英文版）2025，Vol.12Issue(9)：1866-1877,12.DOI:10.1109/JAS.2025.125627
A Robust Direct-Discretized RNN for Time-Dependent Optimization Constrained by Nonlinear Equalities and Its Applications
A Robust Direct-Discretized RNN for Time-Dependent Optimization Constrained by Nonlinear Equalities and Its Applications
摘要
关键词
Manipulator control/quadratic polynomial noise/robust direct-discretized recurrent neural network(RDD-RNN)/small target detection/time-dependent optimization constrained by nonlinear equalities(TDOCNE)Key words
Manipulator control/quadratic polynomial noise/robust direct-discretized recurrent neural network(RDD-RNN)/small target detection/time-dependent optimization constrained by nonlinear equalities(TDOCNE)引用本文复制引用
Guangfeng Cheng,Binbin Qiu,Jinjin Guo,Yu Han..A Robust Direct-Discretized RNN for Time-Dependent Optimization Constrained by Nonlinear Equalities and Its Applications[J].自动化学报（英文版）,2025,12(9):1866-1877,12.基金项目
This work was supported in part by the National Key Research and Development Program of China(2023YFC3011100),the National Natural Science Foundation of China(62476294),the Science and Technology Planning Project of Guangdong Province,China(2021B1212040017),and the Guangdong Basic and Applied Basic Research Foundation(2025A1515010377,2023A1515110697). （2023YFC3011100）
