Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2008-06-18

Included Journals: Scopus、EI

Abstract: An improved PID neural network-based controller is designed and analyzed for the inverted pendulum system. In order to deal with the local minimum problem in training neural network with back-propagation algorithm and to enhance controlling precision, neural network's weights are adjusted by optimization algorithm. The controller employs a PID neural network instead of estimating the unknown plant nonlinearities on-line. The simulation results show that the proposed controller with improved PID neural network is flexible and efficient in the control of inverted pendulum system. © 2008 IEEE.