Abstract
In the past two decades, a significant amount of research has been carried out on Linear Parameter-Varying (LPV) systems. It has been shown that LTI control synthesis techniques like optimal and robust control can be extended to the LPV case. Notwithstanding the advances in LPV control, the identification of such systems is still not completely developed. The scope of this paper is to present the problem of LPV system identification. Recent results on subspace identification of LPV systems are presented and applied to the identification of a car lateral dynamics.
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Corno, M., van Wingerden, J.W., Verhaegen, M. (2012). Linear Parameter-Varying System Identification: The Subspace Approach. In: Alberer, D., Hjalmarsson, H., del Re, L. (eds) Identification for Automotive Systems. Lecture Notes in Control and Information Sciences, vol 418. Springer, London. https://doi.org/10.1007/978-1-4471-2221-0_4
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DOI: https://doi.org/10.1007/978-1-4471-2221-0_4
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