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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
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浏览/下载:281/0
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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
Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
作者:
Shi, Guang
;
Liu, Derong
;
Wei, Qinglai
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浏览/下载:408/125
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提交时间:2017/02/23
Recurrent Neural Nets
Neurocontrollers
Learning (Artificial Intelligence)
Office Environment
Optimal Control
Solar Power
Energy Consumption
Time Series
Secondary Cells
Energy Management Systems
Function Approximation
Echo State Network-based Q-learning Method
Optimal Battery Control
Renewable Energy
Optimal Energy Management
Solar Energy
Energy Consumption
Energy Demand
Time Series
Real-time Electricity Rate
Periodic Functions
Q-function
Optimal Charging Strategy
Optimal Discharging Strategy
Optimal Idle Strategy
Numerical Analysis
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:322/92
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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
Online reinforcement learning control by Bayesian inference
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
作者:
Xia, Zhongpu
;
Zhao, Dongbin
;
Dongbin Zhao
Adobe PDF(1559Kb)
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浏览/下载:338/113
  |  
提交时间:2016/06/15
Learning Systems
Bayes Methods
Gaussian Processes
Optimal Control
Online Reinforcement Learning Control
Bayesian Inference
Self-learning Control
Probability
Action Value Function
Gaussian Process
Bayesian-state-action-reward-state-action Algorithm
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
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Adobe PDF(976Kb)
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浏览/下载:387/161
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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
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Adobe PDF(493Kb)
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浏览/下载:317/84
  |  
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
Iterative Learning Control for Non-linear Systems with Deadzone Input and Time Delay in Presence of Measurement Noise
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2011, 卷号: 5, 期号: 12, 页码: 1418-1425
作者:
Shen, D.
;
Mu, Y.
;
Xiong, G.
Adobe PDF(372Kb)
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浏览/下载:161/50
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提交时间:2015/08/12
Iterative Learning Control
Non-linear Systems