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Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 9
作者:  Jin, Long;  Li, Jiachang;  Sun, Zhongbo;  Lu, Jingwei;  Wang, Fei-Yue
收藏  |  浏览/下载：245/0  |  提交时间：2022/01/27
Mathematical models  Computational modeling  Numerical models  Nonlinear equations  Convergence  Analytical models  Time-varying systems  Artificial systems  computational experiments  and parallel execution (ACP)  discrete-time neural dynamics (DTND) model  human lower limb physical experiment  nonlinear equations  
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载：250/0  |  提交时间：2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution  
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:  Qi, Yimeng;  Jin, Long;  Wang, Yaonan;  Xiao, Lin;  Zhang, Jiliang
收藏  |  浏览/下载：188/0  |  提交时间：2021/01/07
Computational modeling  Convergence  Mathematical model  Recurrent neural networks  Perturbation methods  Robots  Numerical models  Complex domain  discrete-time neural dynamics (DTND)  quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)  quadratic programming (QP)  
Exponential Finite-Time Consensus of Fractional-Order Multiagent Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 4, 页码: 1549-1558
作者:  Liu, Huiyang;  Cheng, Long;  Tan, Min;  Hou, Zeng-Guang
收藏  |  浏览/下载：252/0  |  提交时间：2020/06/02
Multi-agent systems  Protocols  Convergence  Manifolds  Heuristic algorithms  Sliding mode control  Lyapunov methods  Directed network topology  exponential finite-time consensus  fast sliding-mode algorithms  fractional-order dynamics  multiagent systems  
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 102941-102950
作者:  Duan, Wenhui;  Xiao, Xiuchun;  Fu, Dongyang;  Yan, Jingwen;  Liu, Mei;  Zhang, Jiliang;  Jin, Long
收藏  |  浏览/下载：223/0  |  提交时间：2019/12/16
Chemical industry  automatic control  control design  neural dynamics method  rapid convergence  perturbations rejection