QQ客服 官方微博 反馈留言

浏览/检索结果: 共20条，第1-10条 帮助 限定条件 发表日期：2022     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A NOVEL AUGMENTED LAGRANGIAN METHOD OF MULTIPLIERS FOR OPTIMIZATION WITH GENERAL INEQUALITY CONSTRAINTS 期刊论文 MATHEMATICS OF COMPUTATION, 2022, 页码: 30 作者:  Liu, Xin-Wei;  Dai, Yu-Hong;  Huang, Ya-Kui;  Sun, Jie 收藏  |  浏览/下载：44/0  |  提交时间：2023/02/07 Nonlinear programming  inequality-constrained optimization  augmented Lagrangian method of multipliers  strong global convergence  local convergence   A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds 期刊论文 MATHEMATICAL PROGRAMMING, 2022, 页码: 61 作者:  Zhou, Yuhao;  Bao, Chenglong;  Ding, Chao 收藏  |  浏览/下载：8/0  |  提交时间：2023/02/07 Nonsmooth manifold optimization  Semismooth Newton method  Augmented Lagrangian method  Riemannian manifold   Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems 期刊论文 NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291 作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian 收藏  |  浏览/下载：39/0  |  提交时间：2022/09/19 Reinforcement learning  Adaptive dynamic programming (ADP)  UAV control  Monte Carlo simulation  Neural networks   A line search penalty-free SQP method for equality-constrained optimization without Maratos effect 期刊论文 IMA JOURNAL OF NUMERICAL ANALYSIS, 2022, 卷号: 42, 期号: 4, 页码: 3771-3802 作者:  Chen, Zhongwen;  Dai, Yu-Hong;  Zhang, Tauyou 收藏  |  浏览/下载：11/0  |  提交时间：2023/02/07 The augmented lagrangian method can approximately solve convex optimization with least constraint violation 期刊论文 MATHEMATICAL PROGRAMMING, 2022, 页码: 35 作者:  Dai, Yu-Hong;  Zhang, Liwei 收藏  |  浏览/下载：8/0  |  提交时间：2023/02/07 Convex optimization  Least constraint violation  Augmented Lagrangian method  Shifted problem  Optimal value mapping  Solution mapping  Dual function  Conjugate dual   Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15 作者:  Yang, Xiong;  Xu, Mengmeng;  Wei, Qinglai 收藏  |  浏览/下载：29/0  |  提交时间：2022/07/25 Asymptotic stability  Interconnected systems  Decentralized control  Closed loop systems  Artificial neural networks  Optimal control  Nonlinear dynamical systems  Adaptive dynamic programming (ADP)  decentralized control  event-based control  interconnected system  reinforcement learning (RL)   Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 6, 页码: 3926-3935 作者:  Wei, Qinglai;  Lu, Jingwei;  Zhou, Tianmin;  Cheng, Xiang;  Wang, Fei-Yue 收藏  |  浏览/下载：26/0  |  提交时间：2022/06/06 Optimal control  Nonlinear systems  Informatics  Control systems  Performance analysis  Mathematical models  Upper bound  Adaptive dynamic programming (ADP)  boiler-turbine system (BTS)  control constraints  event-triggered  nonlinear optimal control  parallel control   Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15 作者:  Lu, Jingwei;  Wei, Qinglai;  Zhou, Tianmin;  Wang, Ziyang;  Wang, Fei-Yue 收藏  |  浏览/下载：15/0  |  提交时间：2022/07/25 Nonlinear systems  Optimal control  Control systems  Performance analysis  Stability criteria  Iterative algorithms  Heuristic algorithms  Adaptive dynamic programming (ADP)  event-triggered control  near-optimal control  parallel control  reinforcement learning (RL)  unknown nonlinear systems   A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method 期刊论文 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 5, 页码: 2610-2617 作者:  Wei, Qinglai;  Zhu, Liao;  Li, Tao;  Liu, Derong 收藏  |  浏览/下载：38/0  |  提交时间：2022/07/25 Time-varying systems  Nonlinear systems  Optimal control  Heuristic algorithms  Dynamic programming  Neural networks  Linear systems  Adaptive dynamic programming  approximate dynamic programming  finite horizon  nonlinear systems  optimal control  pseudolinear approximation   A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems 期刊论文 NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369 作者:  Zhong, Weifeng;  Wang, Mengxuan;  Wei, Qinglai;  Lu, Jingwei 收藏  |  浏览/下载：15/0  |  提交时间：2022/06/10 Integral reinforcement learning  Nuclear power reactor  Nonlinear system  Optimal tracking control  Neural networks