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出处:IET CONTROL THEORY AND APPLICATIONS
文献类型:期刊论文
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Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:
Xiong, Tianyi
;
Pu, Zhiqiang
;
Yi, Jianqiang
;
Tao, Xinlong
收藏
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浏览/下载:226/0
  |  
提交时间:2020/07/06
neurocontrollers
multi-agent systems
Lyapunov methods
closed loop systems
nonlinear control systems
time-varying systems
adaptive control
observers
uncertain systems
position control
radial basis function networks
robust control
control system synthesis
learning (artificial intelligence)
minimal learning-parameter approach
fixed-time CLSO
time-varying formation tracking problem
formation tracking control scheme
multiagent systems
time-varying formation tracking control problem
model uncertainties
velocity measurements
radial basis function neural networks
fixed-time cascaded leader state observer
fixed-time observer-based adaptive neural network time-varying formation tracking control
RBFNN-based adaptive control scheme
Adaptive near-optimal controllers for non-linear decentralised feedback stabilisation problems
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 6, 页码: 799-806
作者:
Wang, Ding
;
He, Haibo
;
Zhao, Bo
;
Liu, Derong
Adobe PDF(3178Kb)
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浏览/下载:298/90
  |  
提交时间:2017/07/18
Adaptive Control
Optimal Control
Continuous Time Systems
Nonlinear Control Systems
Decentralised Control
Feedback
Stability
Control System Synthesis
Adaptive-critic-based Near-optimal Controller
Continuous-time Nonlinear Decentralised Feedback Stabilisation Problem
Decentralised Feedback Control Problem
Updating Rule
Approximation Property
Learning Mechanism
Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1339-1347
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
;
Li, Xiangjun
Adobe PDF(976Kb)
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浏览/下载:354/161
  |  
提交时间:2016/12/26
Nonlinear Control Systems
Continuous Time Systems
Learning (Artificial Intelligence)
Optimal Control
Dynamic Programming
Lyapunov Methods
Linear Systems
Reinforcement Learning
Continuous-time Problem
Nonlinear Optimal Tracking Problem
Adaptive Dynamic Programming
Model-free Adaptive Optimal Tracking Algorithm
Lyapunov Analysis
Linear System
Neural-network-based online optimal control for uncertain non-linear continuous-time systems with control constraints
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 期号: 17, 页码: 2037-2047
作者:
Yang, Xiong
;
Liu, Derong
;
Huang, Yuzhu
Adobe PDF(493Kb)
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浏览/下载:278/81
  |  
提交时间:2015/08/12
Adaptive Control
Approximation Theory
Closed Loop Systems
Continuous Time Systems
Lyapunov Methods
Neurocontrollers
Nonlinear Control Systems
Optimal Control
Robust Control
Uncertain Systems
Neural Network-based Online Adaptive Optimal Control
Uncertain Nonlinear Continuous-time Systems
Control Constraints
Infinite-horizon Optimal Control Problem
Control Policy
Saturation Constraints
Identifier-critic Architecture
Hamilton-jacobi-bellman Equation Approximation
Uncertain System Dynamics
Critic Nn
Action-critic Dual Networks
Reinforcement Learning
Identifier Nn
Policy Iteration
Lyapunovaeuros Direct Method
Closed Loop System Stability