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Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:  Wang, Ding;  Cheng, Long;  Yan, Jun
收藏  |  浏览/下载：257/0  |  提交时间：2022/03/17
Robust control  Optimal control  Cost function  Trajectory tracking  Nonlinear systems  Feedback control  Dynamical systems  Adaptive critic learning  control synthesis  neural networks  optimization  robust stabilization  tracking design  
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 77-86
作者:  Wang, Ding;  Qiao, Junfei;  Cheng, Long
收藏  |  浏览/下载：276/0  |  提交时间：2022/03/17
Control design  Cost function  Optimal control  Nonlinear systems  Adaptive systems  Switches  Adaptive learning system  discount factor  guaranteed cost function  neuro-optimal control  uncertainty  
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Ding;  Ha, Mingming;  Cheng, Long
收藏  |  浏览/下载：284/0  |  提交时间：2022/01/27
Trajectory  Heuristic algorithms  Convergence  Trajectory tracking  Stability criteria  Optimal control  Dynamic programming  Adaptive critic design  discrete-time nonlinear plants  neuro-optimal trajectory tracking  uniformly ultimately bounded stability  value iteration  
A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 11
作者:  Du, Zhangming;  Zhou, Chao;  Cao, Zhiqiang;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(662Kb)  |  收藏  |  浏览/下载：363/74  |  提交时间：2021/12/28
Piezoelectric actuator  neural network  displacement tracking  model predictive control  
Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 7, 页码: 12
作者:  Sun, Tairen;  Cheng, Long;  Hou, Zengguang;  Tan, Min
收藏  |  浏览/下载：253/0  |  提交时间：2021/08/15
adaptive control  robot manipulator  disturbance observer  sliding mode  
Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:  Li, Houcheng;  Cheng, Long;  Li, Zhengwei;  Xue, Wenchao
Adobe PDF(3069Kb)  |  收藏  |  浏览/下载：308/51  |  提交时间：2021/06/07
Actuators  Exoskeletons  Performance evaluation  Training  IEEE transactions  Mechatronics  Active disturbance rejection control  extended state observer  extension motion  hand rehabilitation  parameter selection  transient  steady-state performance  
Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 3, 页码: 1735-1746
作者:  Kong, Linghuan;  He, Wei;  Dong, Yiting;  Cheng, Long;  Yang, Chenguang;  Li, Zhijun
收藏  |  浏览/下载：214/0  |  提交时间：2021/03/29
Neural networks  Adaptive systems  Nonlinear systems  Manipulator dynamics  Uncertainty  adaptive control  asymmetrically bounded inputs  neural networks  robotic manipulator  
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 1, 页码: 209-218
作者:  Huang, Dianye;  Yang, Chenguang;  Pan, Yongping;  Cheng, Long
收藏  |  浏览/下载：214/0  |  提交时间：2021/01/06
Manipulator dynamics  Uncertainty  Informatics  Service robots  Lyapunov methods  Barrier Lyapunov function (BLF)  composite learning (CL)  output error constraints  radial basis function neural network  robot manipulators  
An Adaptive Fuzzy Predictive Controller with Hysteresis Compensation for Piezoelectric Actuators 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 12
作者:  Wang, Ang;  Cheng, Long;  Yang, Chenguang;  Hou, Zeng-Guang
收藏  |  浏览/下载：197/0  |  提交时间：2020/06/22
Adaptive fuzzy model  Feedforward-feedback control  Hysteresis compensation  Model predictive control (MPC)  Piezoelectric actuators (PEAs)