Sampled-data-based stability and stabilization of Lurie systems

Wei Wang, Jin-Ming Liang and Hong-Bing Zeng

Applied Mathematics and Computation, 2025, vol. 501, issue C

Abstract: This paper discusses the sampled-data control problem of Lurie systems. First, a sufficient condition is presented to ensure system stability with a predefined controller gain. This condition is then extended to design a state-feedback controller (SFC) that stabilizes the systems. Additionally, the paper introduces a cone complementary linearization iteration (CCLI) algorithm with an enhanced iteration condition to obtain the controller gain. Numerical examples demonstrate that the proposed method surpasses existing methods in the literature.

Keywords: Lurie system; Sampled-data; Stabilization; Cone complementary linearisation algorithm (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:501:y:2025:i:c:s0096300325001821

DOI: 10.1016/j.amc.2025.129455

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