scholarly journals Stabilization Fuzzy Control of Parallel-Type Double Inverted Pendulum System Using the SIRMs Dynamically Connected Fuzzy Inference Model

2001 ◽  
Vol 37 (1) ◽  
pp. 65-72
Author(s):  
Jianqiang YI ◽  
Naoyoshi YUBAZAKI ◽  
Kaoru HIROTA
Keyword(s):  
Fuzzy Control ◽  
Inverted Pendulum ◽  
Fuzzy Inference ◽  
Inference Model ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
Parallel Type

Adaptive Neural Network Fuzzy Control Plane Double Inverted Pendulum

2013 ◽  
Vol 765-767 ◽  
pp. 2004-2007
Author(s):  
Su Ying Zhang ◽  
Ying Wang ◽  
Jie Liu ◽  
Xiao Xue Zhao
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Control Theory ◽  
Inverted Pendulum ◽  
Learning Ability ◽  
Adaptive Neural Network ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
Self Learning ◽  
Controlled Object

Double inverted pendulum system is nonlinear and unstable. Fuzzy control uses some expert's experience knowledge and learns approximate reasoning algorithm. For it does not depend on the mathematical model of controlled object, it has been widely used for years. In practical engineering applications, most systems are nonlinear time-varying parameter systems. As the fuzzy control theory lacks of on-line self-learning and adaptive ability, it can not control the controlled object effectively. In order to compensate for these defects, it introduced adaptive, self-organizing, self-learning functions of neural network algorithm. We called it adaptive neural network fuzzy inference system (ANFIS). ANFIS not only takes advantage of the fuzzy control theory of abstract ability, the nonlinear processing ability, but also makes use of the autonomous learning ability of neural network, the arbitrary function approximation ability. The controller was applied to double inverted pendulum system and the simulation results showed that this method can effectively control the double inverted pendulum system.

FUZZY CONTROL OF INVERTED PENDULUM SYSTEM

2016 ◽  
Vol 4 (2) ◽  
pp. 21 ◽  
Author(s):  
Tanna RAJESH ◽  
MARY K. ALICE ◽  
VISWANADH VIVEK ◽  
◽  
◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Inverted Pendulum ◽  
Pendulum System ◽  
Inverted Pendulum System

521 Subspace Control for Multiple Inverted Pendulum System : Part I, Application to a Parallel-Type Model

2006 ◽  
Vol 2006 (0) ◽  
pp. _521-1_-_521-6_
Author(s):  
Motomichi SONOBE ◽  
Takahiro KONDOU ◽  
Nobuyuki SOWA ◽  
Kenichiro MATSUZAKI ◽  
Jun NAGATSU
Keyword(s):  
Inverted Pendulum ◽  
Type Model ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
System Part ◽  
Parallel Type
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