Abstract
Adaptive inverse control (AIC) uses three adaptive filters: plant model, controller and disturbance canceller. A kind of hybrid AIC system based on Least Squares Support Vector Machines (LS-SVMs) is proposed in this paper. It has a PID controller to compensate the control signal error. A kind of adaptive disturbance canceller based on LS-SVM is also proposed. It can optimally eliminate plant disturbance. Simulation example is presented to demonstrate that the proposed method works very well.
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Liu, X., Yi, J., Zhao, D. (2005). Adaptive Inverse Control System Based on Least Squares Support Vector Machines. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_8
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DOI: https://doi.org/10.1007/11427469_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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