Abstract
Neuro-control which adopts neural network architectures to synthesis of control has been summarized and its application to electric vehicle control is developed in this paper. The neuro-control methods adopted here is based on proportional-plus-integral-plus-derivative (PID) control, which has been adopted to solve process control or intelligent control. In Japan about eighty four per cent of the process industries have used the PID control. Using the learning ability of the neural network, we will show the self- tuning PID control scheme (neuro-PID) and the real application to an electric vehicle control. environment.
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Omatu, S. (2009). Neuro-control and Its Applications to Electric Vehicle Control. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_1
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DOI: https://doi.org/10.1007/978-3-642-02481-8_1
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