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自动化研究所 [22]
北京大学 [12]
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沈阳自动化研究所 [11]
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厦门大学 [3]
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会议论文 [11]
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Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1007-1021
作者:
Yunjun Zheng
;
Jinchuan Zheng
;
Ke Shao
;
Han Zhao
;
Hao Xie
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浏览/下载:0/0
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提交时间:2024/03/18
Adaptive sliding mode
barrier function
nonholonomic wheeled mobile robot (NWMR)
trajectory tracking control
Modeling and Control of an Octopus Inspired Soft Arm under Prescribed Spatial Motion Constraints
期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2023, 卷号: 109, 期号: 4, 页码: 18
作者:
Ma, Jie
;
Han, Zhiji
;
Liu, Zhijie
;
Li, Guotao
;
He, Wei
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  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Soft robot
Four-longitudinal muscle
Dynamic model
Actuator modeling
Performance constraint
Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Wang, Ruigang
;
Wang, Zhuo
;
Liu, Sixun
;
Li, Tao
;
Li, Feng
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
3-D spin polarization control (3DSPC)
adaptive dynamic programming (ADP)
asymmetric input constraint
multicritic multiaction neural networks (MCMANNs)
multiphysics
multiplayer nonzero-sum game (MP-NZSG)
spin-exchange relaxation-free (SERF).
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication
期刊论文
NONLINEAR DYNAMICS, 2022, 页码: 18
作者:
Pu, Zhiqiang
;
Ai, Xiaolin
;
Yi, Jianqiang
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  |  
浏览/下载:18/0
  |  
提交时间:2022/07/25
Multi-agent systems
Integrated game and control
Velocity constraint
Input saturation
Event-triggered communication
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
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浏览/下载:18/0
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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
PID Control of Planar Nonlinear Uncertain Systems in the Presence of Actuator Saturation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 90-98
作者:
Xujun Lyu
;
Zongli Lin
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浏览/下载:75/0
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提交时间:2021/11/03
Actuator saturation
domain of attraction
nonlinear systems
PID control
uncertainties
Singular perturbation-based saturated adaptive control for underactuated Euler-Lagrange systems
期刊论文
ISA TRANSACTIONS, 2022, 卷号: 119, 页码: 74-80
作者:
Sun, Tairen
;
Zhang, Xuexin
;
Yang, Hongjun
;
Pan, Yongping
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浏览/下载:29/0
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提交时间:2021/12/28
Underactuated system
Euler-Lagrange system
Compliant robot
Nonlinear control
Adaptive control
Control saturation
Output regulation
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
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浏览/下载:51/0
  |  
提交时间:2022/04/02
Adaptive fuzzy control
fixed-time control
input saturation
nonstrict-feedback systems
time-varying constraints
Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4231-4242
作者:
Yang, Chenguang
;
Huang, Dianye
;
He, Wei
;
Cheng, Long
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浏览/下载:73/0
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提交时间:2021/11/03
Manipulators
Lyapunov methods
Robot kinematics
Trajectory tracking
Automation
Barrier Lyapunov function (BLF)
constrained control
input saturation
robot manipulator
Output-Feedback Based Simplified Optimized Backstepping Control for Strict-Feedback Systems with Input and State Constraints
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1119-1132
作者:
Jiaxin Zhang
;
Kewen Li
;
Yongming Li
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浏览/下载:52/0
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提交时间:2021/06/11
Backstepping design
immeasurable states
neural-networks (NNs)
optimal control
state constraints
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