Abstract
The paper provides a new style of PID controller that is based on neural network according to the traditional one’s mathematical formula and neural network’s ability of nonlinear approximation. It also discusses the corresponding learning algorithm and realizing method. This new controller is proven highly practical and effective in the simulation test. This new controller has more advantage than the traditional one, such as more convenient in parameter regulating, better robust, more independence and adaptability on the plant, etc.
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References
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Yang, J., Lu, W., Liu, W. (2004). PID Controller Based on the Artificial Neural Network. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_22
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DOI: https://doi.org/10.1007/978-3-540-28648-6_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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