For real applications, rotary inverted pendulum systems have been known as the basic model in nonlinear control systems. If researchers no deep understanding of control, it is difficult to a platform using classic engineering models, shown section 2.1. Therefore, without theory, this paper controls by training and testing reinforcement learning algorithm. Many recent achievements (RL) become po...

BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected ...

In this paper, a fuzzy controller for an inverted pendulum system is presented in two stages. These stages are: investigation of fuzzy control systemmodeling methods and solution of the “Inverted Pendulum Problem” by using Java programming with Applets for internet based control education. In the first stage, fuzzy modeling and fuzzy control system investigation, Java programming language, clas...

In recent years, Particle Swarm Optimization has evolved as an effective global optimization algorithm whose dynamics has been inspired from swarming or collaborative behavior of biological populations. In this paper, PSO has been applied to Triple Link Inverted Pendulum model to find its reduced order model by minimization of error between the step responses of higher and reduced order model. ...

In this paper, we will propose a nonlinear passivity based controller fur a double inverted pendulum system, consisting of a two-link pendulum mounted on a pad which is moved by a linear induction motor so that the double pendulum points straight-up The proposed controller nut only can drive the double pendulum from its “natural stable hanging position” tu its “unstable upright inverted positio...