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Observer-based event and self-triggered adaptive output feedback control of robotic manipulators 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 32
作者:  Gao, Jie;  He, Wei;  Qiao, Hong
收藏  |  浏览/下载：152/0  |  提交时间：2022/11/14
first-order filter  impulsive dynamical system  model-based event-triggered control  neural network  nonlinear uncertainty  observer estimation  robotic manipulator  
Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations 期刊论文
IEEE Transactions on Fuzzy Systems, 2022, 卷号: 30, 期号: 4, 页码: 1114-1128
作者:  Jinlin Su;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：250/52  |  提交时间：2022/04/02
Adaptive fuzzy control  fixed-time control  input saturation  nonstrict-feedback systems  time-varying constraints  
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：228/35  |  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  
On the Principle and Applications of Conditional Disturbance Negation 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 11, 页码: 6757-6767
作者:  Pu, Zhiqiang;  Sun, Jinlin;  Yi, Jianqiang;  Gao, Zhiqiang
Adobe PDF(1523Kb)  |  收藏  |  浏览/下载：263/37  |  提交时间：2021/12/28
Observers  Couplings  Control design  Uncertainty  System dynamics  Analytical models  Sun  Conditional disturbance negation (CDN)  coupling  disturbance rejection  information-centric control  observer  
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312
作者:  Wang, Jianhui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
收藏  |  浏览/下载：244/0  |  提交时间：2020/03/30
Actuators  Hysteresis  Nonlinear systems  Artificial neural networks  Adaptive systems  Stochastic systems  System performance  Actuator failure  adaptive control  event-triggered  neural networks (NNs)  stochastic nonlinear systems  unknown direction hysteresis  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：251/84  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning  
Adaptive Fuzzy Tracking Control of Uncertain Nonlinear Systems Subject to Actuator Dead Zone With Piecewise Time-Varying Parameters 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 7, 页码: 1493-1505
作者:  Lu, Kaixin;  Liu, Zhi;  Lai, Guanyu;  Zhang, Yun;  Chen, C. L. Philip
收藏  |  浏览/下载：185/0  |  提交时间：2019/12/16
Adaptive fuzzy control  dead zone  piecewise Lyapunov function  prescribed performance  
Coordinated Control of Underwater Biomimetic Vehicle-Manipulator System for Free Floating Autonomous Manipulation 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Shuo;  Wang, Yu;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(2380Kb)  |  收藏  |  浏览/下载：261/61  |  提交时间：2020/05/07
Adaptive Tracking Differentiator (Atd)  Nonsingular Terminal Sliding-mode Control (Ntsmc)  Underwater Autonomous Manipulation  Vehicle–manipulator Coordinated Contron  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
收藏  |  浏览/下载：289/0  |  提交时间：2019/07/12
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning