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Article
Quantum Inspired GA based Neural Control of Inverted Pendulum
International Journal of Computer Applications (2015)
  • D. K. Chaturvedi, Dr., Dayalbagh Educational Institute
Abstract
This paper deals with comparison of artificial neural network and quantum inspired evolutionary neural network control of an inverted pendulum. First, a properly tuned PID controller was utilized to stabilize the inverted pendulum to generate the training data. Secondly, a feed-forward neural network was trained on the basis of these data. Thirdly, a quantum genetic algorithm optimized neural network was developed. If a disturbance occurs in the system, the controllers counteract this disturbance and balance inverted pendulum. All these three schemes are tested and compared. The results establish that the quantum genetic algorithm neural controller has the best control action.
Keywords
  • Quantum GA ANN,
  • Inverted Pendulum Control,
  • Adaptive Control,
  • Nonlinear system control,
  • Neural Control
Publication Date
Summer July 15, 2015
Citation Information
D. K. Chaturvedi. "Quantum Inspired GA based Neural Control of Inverted Pendulum" International Journal of Computer Applications Vol. 122 Iss. 23 (2015)
Available at: http://works.bepress.com/dk_chaturvedi/58/