Paper Title
Optimal Control Of Inverted Pendulum Based On Two PID And LQR Arrangement And Improved Bp Neural Network

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 by a two PID and one LQR arrangement. The simulation results provethat the modified BP algorithm for inverted pendulum control gives better efficiency, lesser training tim e and faster convergence