Abstract
In this paper, a method to construct of a stable dual-mode predictive controller of unknown nonlinear system using the fuzzy system as a predictive model is proposed. The dual-mode controller is designed to ensure the stability in this region. In the neighborhood of the origin, a linear feedback controller designed for the linearized system generates the control action. Outside this neighborhood, predictive controller based on the fuzzy model is applied to the real nonlinear system. This method yields a stable closed-loop system when is applied to nonlinear systems under some conditions.
This work is supported by national nature fund. Grant ID: 450474020.
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© 2005 Springer-Verlag Berlin Heidelberg
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Song, C., Yang, S., yang, H., Zhang, H., Chai, T. (2005). A Dual-Mode Fuzzy Model Predictive Control Scheme for Unknown Continuous Nonlinear System. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_109
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DOI: https://doi.org/10.1007/11539506_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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