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清华大学 [14]
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大连理工大学 [1]
华南理工大学 [1]
上海大学 [1]
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期刊论文 [26]
会议论文 [3]
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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
  |  
浏览/下载:50/0
  |  
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 dynamic surface longitudinal tracking control of autonomous vehicles
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 页码: 1272-1280
作者:
Guo, Jinghua
;
Luo, Yugong
;
Li, Keqiang
;
Guo, Lie
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
stability
adaptive control
neurocontrollers
road safety
nonlinear control systems
Lyapunov methods
control system synthesis
autonomous vehicle
adaptive dynamic surface longitudinal control system
longitudinal vehicle model
adaptive dynamic surface longitudinal tracking control strategy
Generalised state estimation of Markov jump neural networks based on the Bessel-Legendre inequality
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 9, 页码: 1284-1290
作者:
Shen, Hao
;
Jiao, Shiyu
;
Xia, Jianwei
;
Park, Ju H.
;
Huang, Xia
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
delays
stability
delay systems
neurocontrollers
state estimation
Markov processes
Lyapunov methods
asymptotic stability
stochastic
systems
generalised state estimation
Markov jump neural networks
stability analysis
Markov jump static neural networks
Bessel-Legendre
inequality
observer
time delays
Algebraic criteria for reachable set estimation of delayed memristive neural networks
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 11, 页码: 1736-1743
作者:
Zhao, Jiemei*
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/27
delays
Lyapunov methods
feedback
neurocontrollers
control system synthesis
asymptotic stability
time-varying systems
functional equations
algebraic criteria
delayed memristive neural networks
bounded disturbances
differential inclusion theory
reachable set estimation criterion
delay-dependent feedback controller design problem
MNN
Filippov solution
Lyapunov functional
exponential stability
stabilisability condition
Longitudinal speed control of autonomous vehicle based on a self-adaptive PID of radial basis function neural network
期刊论文
IET Intelligent Transport Systems, 2018, 卷号: 12, 期号: 6, 页码: 485-494
作者:
Nie, Linzhen*
;
Guan, Jiayi
;
Lu, Chihua
;
Zheng, Hao
;
Yin, Zhishuai
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/04
velocity control
road traffic control
automobiles
adaptive control
fuzzy control
radial basis function networks
neurocontrollers
vehicle dynamics
road safety
longitudinal speed control
autonomous vehicle control
self-adaptive PID
radial basis function neural network
self-adaptive proportional integral derivative control
longitudinal speed tracking accuracy
forward simulation model
self-adaptive RBFNN-PID driver model
vehicle dynamics model
fuzzy control methods
European driving cycle
ride comfort
safety management
Adaptive quantised control of switched stochastic strict-feedback non-linear systems with asymmetric input saturation
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 页码: 1367-1375
作者:
Yu, Zhaoxu[1]
;
Yan, Huaicheng[2]
;
Li, Shugang[3]
;
Dong, Yan[4]
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/04/22
nonlinear control systems
control nonlinearities
stochastic systems
Lyapunov methods
neurocontrollers
linear systems
adaptive control
feedback
control system synthesis
uncertain systems
closed loop systems
approximation theory
switching asymmetric saturation nonlinearities
sector-bounded quantisation errors
common Lyapunov function method
simple common adaptive tracking control scheme
adaptive parameter
arbitrary switching
closed-loop system
tracking error
strict-fee
Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2307-2316
作者:
Yang, Xiong
;
He, Haibo
;
Liu, Derong
;
Zhu, Yuanheng
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/09/13
Dynamic Programming
Robust Control
Neurocontrollers
Continuous Time Systems
Control System Synthesis
Nonlinear Control Systems
Optimal Control
Function Approximation
Monte Carlo Methods
Closed Loop Systems
Asymptotic Stability
Adaptive Dynamic Programming
Robust Neural Control Design
Unknown Continuous-time Nonlinear Systems
Ct Nonlinear Systems
Adp-based Robust Neural Control Scheme
Robust Nonlinear Control Problem
Nonlinear Optimal Control Problem
Nominal System
Adp Algorithm
Actor-critic Dual Networks
Control Policy Approximation
Value Function Approximation
Actor Neural Network Weights
Critic Nn Weights
Monte Carlo Integration Method
Closed-loop System
Asymptotically Stability
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
收藏
  |  
浏览/下载:14/0
  |  
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 neural control for stochastic pure-feedback non-linear time-delay systems with output constraint and asymmetric input saturation
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 2288-2298
作者:
Si, Wenjie[1]
;
Dong, Xunde[1]
;
Yang, Feifei[1]
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/04/24
control system synthesis
adaptive control
neurocontrollers
Lyapunov methods
delay systems
delays
approximation theory
convergence of numerical methods
hyperbolic equations
control nonlinearities
feedback
stochastic systems
nonlinear control systems
robust control
robust adaptive neural controller
stochastic pure-feedback nonlinear time-delay systems
output constraint
asymmetric input saturation
adaptive tracking control
input saturation nonlinearity
Gaussian error function
continuous differentiable asymmetric saturation model
barrier Lyapunov function
Lyapunov-Krasovskii functional
hyperbolic tangent functions
unknown time-delay terms
neural network
Lyapunov stability theory
learning parameters
closed-loop signals
4-moment semiglobally uniformly ultimately bounded
2-moment semiglobally uniformly ultimately bounded
tracking error
Quasi-synchronisation of fractional-order memristor-based neural networks with parameter mismatches
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2317-2327
作者:
Huang, Xia
;
Fan, Yingjie
;
Jia, Jia
;
Wang, Zhen
;
Li, Yuxia
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
neural chips
memristor circuits
synchronisation
delay systems
Lyapunov methods
state feedback
control system synthesis
linear
systems
neurocontrollers
fractional-order memristor-based neural
networks
parameter mismatches
time delay
fractional-order
differential inclusions
set-valued maps
delayed FMNNs
quasisynchronisation criteria
Lyapunov function
fractional-order
differential inequalities
Mittag-Leffler function
synchronisation
error bound estimation
linear state feedback
delayed state feedback
control law design
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