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Indexed by:会议论文
Date of Publication:2008-06-18
Included Journals:EI、Scopus
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.