This paper introduces an adaptive practical output tracking control algorithm for inverted pendulum which is a nonlinearly parameterized system with unmodeled dynamics.

A simulation analysis of two control methods for a single inverted pendulum;

Application of Fuzzy Control in Single Inverted Pendulum System;

The mathematical model of a single inverted pendulum is built by using the Newton mechanics,and the two control methods which are usually used in the inverted pendulum system,that is conventional PID, the self-training property of neural net Fuzzy control are discussed.

Based on the T-S fuzzy model of the single-inverted pendulum,a design method of fuzzy controller is presented by using the concept of CDF(compensation and division for fuzzy model) and the approach of linear matrix inequality.

This paper deduces the mathematical model of a single-inverted pendulum system by Lagrange equation and designs its controller by the adaptive fuzzy method, later, combining its model and controller in Matlab simulation and operating it.

Firstly, the simplified model of the single inverted pendulum system is analyzed, and then designed a digital optimal controller with integral function.

Control system of tVwo-wheel mobile inverted pendulum based on CANopen protocol;

Double inverted pendulum control based on fuzzy inference of support vector machines;