This paper deals with the robust stabilization of a class of linear parameter varying (LPV) systems in the sampled data control case. Instead of using a state observer or searching for a dynamic output feedback, the considered controller is based on output derivatives estimation. This allows the stabilization of the plant with very large parameter variations or uncertainties. The proof of stability is based on the polytopic representation of the closed-loop under Lyapunov conditions and system transformations. The result is a control structure with only one parameter tuned via very simple conditions. Finally, the effectiveness of the proposed method is verified via a numerical example of a second-order LPV system.
Derivative-Based Sampled Data Control for Continuous Linear Parameter Varying System With Unknown Parameters
Villers-lès-Nancy 54600, France;
Lille F-59000, France
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received June 1, 2017; final manuscript received February 15, 2019; published online April 3, 2019. Assoc. Editor: Jongeun Choi.
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Maalej, S., Kruszewski, A., and Belkoura, L. (April 3, 2019). "Derivative-Based Sampled Data Control for Continuous Linear Parameter Varying System With Unknown Parameters." ASME. J. Dyn. Sys., Meas., Control. August 2019; 141(8): 081013. https://doi.org/10.1115/1.4042947
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