Abstract
Recently, we have developed multiobjective robust controller using difference signals of nonlinear plant for multiple CAN2s to learn and approximate Jacobian matrices of the nonlinear dynamics. Here, the CAN2 is an artificial neural net for learning efficient piecewise linear approximation of nonlinear function. So far, by means of numerical experiments, we have shown that the controller is capable of coping with the change of plant parameter values as well as the change of control objective by means of switching multiple CAN2s. However, the controller have not been analyzed enough. This paper clarifies several properties of the controller by means of examining the control of linear plants.
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Huang, W., Ishiguma, Y., Kurogi, S. (2014). Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems. In: Loo, C.K., Yap, K.S., Wong, K.W., Beng Jin, A.T., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8836. Springer, Cham. https://doi.org/10.1007/978-3-319-12643-2_8
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DOI: https://doi.org/10.1007/978-3-319-12643-2_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12642-5
Online ISBN: 978-3-319-12643-2
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