Use this resource - and many more! - in your textbook!
AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.
Neuro-tabu-fuzzy controller to stabilize an inverted pendulum system
2004 / IEEE / 0-7803-8560-8
This item was taken from the IEEE Conference ' Neuro-tabu-fuzzy controller to stabilize an inverted pendulum system ' This paper proposes a new control structure with its application in stabilizing an inverted pendulum system. The structure is neuro-fuzzy control of which initial parameters of the neural network are obtained from the adaptive tabu search, hence the name ""neuro-tabu-Juzzy controller"". This proposed controller consists of the single input rule modules (SIRMs) and the dynamic importance degrees (DIDs). The learning of the neural network results in the DIDs. The simulation results indicate that the proposed neuro-tabu-fuzzy controller has an ability to stabilize a wide range of an inverted pendulum system.
Dynamic Importance Degrees
Neural Network Learning
Adaptive Tabu Search
Single Input Rule Modules
Nonlinear Control Systems
Power Engineering Computing
Inverted Pendulum System