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On SFTSM control with fixed-time convergence
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 766-773
作者:
Li, Huijie
;
Cai, Yuanli
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浏览/下载:4/0
  |  
提交时间:2019/11/26
single inverted pendulum tracking system
Lyapunov stability theory
composite fast reaching law
globally fixed-time stability
nonlinear control systems
SFTSM control
stability
second-order nonlinear systems
singularity-free terminal sliding mode control scheme
variable structure systems
fixed-time convergence
Lyapunov methods
phase plane analysis
singularity-free fast TSM
Non-singular fixed-time terminal sliding mode control of non-linear systems
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2015, 卷号: 9, 页码: 545-552
作者:
Zuo, Zongyu
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浏览/下载:4/0
  |  
提交时间:2020/01/06
variable structure systems
nonlinear control systems
uncertain systems
perturbation techniques
closed loop systems
Lyapunov methods
pendulums
nonsingular fixed-time terminal sliding mode control
second-order nonlinear systems
matched uncertainties
perturbations
nonsingular terminal sliding surface
closed-loop convergence time
phase plane analysis
Lyapunov tools
single inverted pendulum
BP Neural Network Control of Single Inverted Pendulum
会议论文
3rd International Conference on Computer Science and Network Technology (ICCSNT)
-
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浏览/下载:2/0
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提交时间:2019/12/23
BPneural network
Levenberg-Marquardt algorithm
Single inverted pendulum
Quasi-sliding Mode Control for Single Inverted Pendulum System
会议论文
International Conference on Materials Science and Information Technology (MSIT 2011), SEP 16-18, 2011
作者:
Wang, Hong-mei
;
Zhang, Hou-sheng
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浏览/下载:1/0
  |  
提交时间:2019/12/31
Single inverted pendulum
quasi-sliding mode
stability
LQR Control of Single Inverted Pendulum Based on Square Root Filter
会议论文
International Conference on Materials Science and Information Technology (MSIT 2011), SEP 16-18, 2011
作者:
Wang Hong-mei
;
Jiang Shi-jin
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浏览/下载:1/0
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提交时间:2019/12/31
single inverted pendulum
squae root filter
LQR
The research of nonlinear control based on fuzzy neural network (EI CONFERENCE)
会议论文
International Conference on Electrical and Control Engineering, ICECE 2010, June 26, 2010 - June 28, 2010, Wuhan, China
Fan Y.-Y.
;
Sang Y.-J.
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浏览/下载:21/0
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提交时间:2013/03/25
This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty
high order and hysteresis
this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum for example
the paper constructed the nonlinear mathematicmodel
realized the control with the method of the adaptive fuzzy neural network
and compared with control method of liner quadratic regulator
the simulation results indicate that the method of adaptive fuzzy neural network can realize the stabilization of control better without the linear model of system
and has a higher robustness. 2010 IEEE.
A new fuzzy controller for stabilization of parallel-type double inverted pendulum system
期刊论文
FUZZY SETS AND SYSTEMS, 2002, 卷号: 126, 期号: 1, 页码: 105-119
作者:
Yi, JQ
;
Yubazaki, N
;
Hirota, K
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浏览/下载:15/0
  |  
提交时间:2015/11/08
fuzzy control
intelligent system
inverted pendulum
single input rule module (SIRM)
stabilization
Stabilization control of series-type double inverted pendulum systems using the SIRMs dynamically connected fuzzy inference model
期刊论文
ARTIFICIAL INTELLIGENCE IN ENGINEERING, 2001, 卷号: 15, 期号: 3, 页码: 297-308
作者:
Yi, JQ
;
Yubazaki, N
;
Hirota, K
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浏览/下载:15/0
  |  
提交时间:2015/11/08
dynamic importance degree
expert system
fuzzy control
intelligent system
double inverted pendulum
SIRM (Single Input Rule Module)
stabilization
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