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Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(8060Kb)  |  收藏  |  浏览/下载：46/3  |  提交时间：2024/03/27
Direct dynamic programming (DDP)  Lorenz system  multiscale dynamics  point-to-point control  recursive least square (RLS)  spiking neural network (SNN)  
Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564
作者:  Guo, Chao;  Xie, Xue-Jun;  Hou, Zeng-Guang
收藏  |  浏览/下载：383/0  |  提交时间：2022/06/10
Nonlinear systems  Time-varying systems  Control design  Adaptive systems  Delay effects  Artificial neural networks  Automation  Feasibility conditions  input and full-state constraints  neural networks (NNs)  nonlinear systems  time-varying powers  
A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 11
作者:  Wei, Qinglai;  Li, Hongyang;  Wang, Fei-Yue
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：256/41  |  提交时间：2022/01/27
Regulators  Regulation  Control systems  Stability analysis  Asymptotic stability  Eigenvalues and eigenfunctions  Control theory  Continuous-time linear systems  output regulation  parallel control theory  parallel regulators  parallel systems