Abstract
A nonlinear PID controller is proposed based on neural network, which can overcome the difficulty of tuning the parameters of conventional PID controller. In the control process of nonlinear multivariable system, a decoupling controller is constructed, which takes advantage of multi-nonlinear PID controllers in parallel. Under the idea of predictive control, the multi-step predictive cost energy is adopted to train the weights of the decoupling controller. Simulation examples are given to show effectiveness of the proposed decoupling control.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, Y., Li, Y., Yang, L., Yang, P. (2011). Nonlinear PID-Predictive Control for Multivariable Nonlinear System. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_83
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DOI: https://doi.org/10.1007/978-3-642-19853-3_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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