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Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application 期刊论文
NEUROCOMPUTING, 2024, 卷号: 567, 页码: 9
作者:  Ma, Dexiu;  Liu, Mei;  Shang, Mingsheng
收藏  |  浏览/下载：8/0  |  提交时间：2024/02/23
Neural dynamics (ND)  ACP framework  Time-dependent infinity-norm optimization (TDINO)  Activation functions  
Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 9, 页码: 5936-5948
作者:  Liu, Mei;  Zhang, Xiaoyan;  Shang, Mingsheng
收藏  |  浏览/下载：66/0  |  提交时间：2022/08/22
Optimization  Mathematical models  Computational modeling  Neural networks  Numerical models  Informatics  Vehicle dynamics  Equality and inequality constraints  noise-suppressing discrete-time neural dynamics (NSDTND) model  time-variant nonlinear optimization  
RNN for Receding Horizon Control of Redundant Robot Manipulators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 2, 页码: 1608-1619
作者:  Yan, Jingkun;  Jin, Long;  Yuan, Zhanting;  Liu, Zhiyi
收藏  |  浏览/下载：152/0  |  提交时间：2021/12/23
Manipulators  Optimization  Acceleration  Recurrent neural networks  Mathematical model  Trajectory tracking  Trajectory  Joint limits  receding horizon control (RHC)  recurrent neural network (RNN)  redundant manipulator  trajectory tracking  
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12
作者:  Wei, Lin;  Jin, Long;  Luo, Xin
收藏  |  浏览/下载：47/0  |  提交时间：2022/08/22
Optimization  Mathematical models  Analytical models  Convergence  Principal component analysis  Time-varying systems  Nonlinear equations  Constrained nonlinear optimization  dimensionality reduction on principal component analyses (PCA)  equality and inequality constraints  neural dynamics  noise suppression  robot arm control  
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4791-4801
作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin
Adobe PDF(2696Kb)  |  收藏  |  浏览/下载：291/0  |  提交时间：2018/11/01
Dual neural network  kinematic control  redundancy resolution  robotic manipulator  
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4791-4801
作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin
Adobe PDF(2696Kb)  |  收藏  |  浏览/下载：284/0  |  提交时间：2019/06/26
Dual neural network  kinematic control  redundancy resolution  robotic manipulator  
Velocity-Level Control with Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution 期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 3, 页码: 921-930
作者:  Zhang, Yinyan;  Li, Shuai;  Gui, Jie;  Luo, Xin
Adobe PDF(1146Kb)  |  收藏  |  浏览/下载：134/0  |  提交时间：2019/06/26
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4710-4720
作者:  Jin, Long;  Li, Shuai;  Hung Manh La;  Luo, Xin
Adobe PDF(903Kb)  |  收藏  |  浏览/下载：3009/2  |  提交时间：2018/03/05
Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution  
The Numerical Factorization of Polynomials 期刊论文
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, 2017, 卷号: 17, 期号: 1, 页码: 259-286
作者:  Wu, Wenyuan;  Zeng, Zhonggang
Adobe PDF(1022Kb)  |  收藏  |  浏览/下载：172/0  |  提交时间：2018/03/05
Numerical polynomial factorization  Ill-posed problem  Factorization manifold  Sensitivity  
Distributed Winner-Take-All in Dynamic Networks 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 卷号: 62, 期号: 2, 页码: 577-589
作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin;  You, Zhu-Hong
Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：181/0  |  提交时间：2018/03/05
Competitive control  consensus  cooperative control  distributed control  dynamic networks  networked control system  winner-take-all