This paper presents the implementation of a Compensatory Adaptive Neuro-Fuzzy Inference
System (CANFIS) controller to control an inverted pendulum. This controller is developed in …

This paper addresses some of the potential benefits of using ANFIS controller to control an
inverted pendulum system. The stages of the development of a controller using a four input …

In this paper, the study of the ANFIS (Adaptive Neuro-Fuzzy Inference System) controller and
its implementation on a Raspberry Pi 3 board were discussed. The objective is to study the …

This paper addresses some of the potential benefits of using ANFIS controllers to control an
inverted pendulum system. The stages of the development of a four input Adaptive-neuro …

This research work addresses the problem of position control of an inverted pendulum
system. In this work an 'Adaptive Neuro-Fuzzy Inference System'is used to implement …

In this paper, we propose a new approach that guarantees the stability and robustness of an
adaptive control law of a nonlinear system. The control diagram proposed contains a Takagi …

The paper deals with neuro-fuzzy tools for non-linear system control. Inverted pendulum was
chosen as a typical non-linear model for control. The control task was defined as lifting …

This paper examines the development of a genetic adaptive fuzzy control system for the
Inverted Pendulum. The inverted pendulum is a classical problem in Control Engineering …

This paper presents the adaptive neuro fuzzy inference (ANFIS) controller for the Rotary
inverted pendulum to balance it at it's the up-right position. The steps for implementation of …

The operation of an inverted pendulum and its respective type of control are affected by the
change of the values of its internal parameters. Changes with high uncertainty result in …