A refined allowable delay set for stability analysis of linear systems with a sinusoidal delay
This paper addresses stability analysis of linear systems with sinusoidal delays by developing a refined allowable delay set derived from delay-splitting techniques, resulting in a less conservative stability criterion and an improved Lyapunov–Krasovskii functional, validated through numerical examples.
ABSTRACT This paper investigates the stability issues of linear systems with a sinusoidal delay, utilizing a refined switching allowable delay set (ADS) derived from the delay‐splitting technique (DST). The delay function is divided into multiple segments and defines their respective value ranges using the DST. By accurately calculating the delay derivatives at each segment point, a refined ADS with a tighter boundary condition is established. Based on this ADS, a stability criterion specifically for linear systems with sinusoidal delays is introduced, demonstrating a significant reduction in conservativeness. Additionally, an improved DST‐based Lyapunov–Krasovskii functional (LKF) is proposed. Compared to similar LKFs reported in the literature, our approach imposes more relaxed constraints, further reducing the conservativeness of the results. Finally, the validity and applicability of our proposed approaches are verified through two extensively researched numerical examples.
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This paper is concerned with the delay-dependent stability analysis of linear systems with a time-varying delay. Two types of improved Lyapunov-Krasovskii functionals (LKFs) are developed to derive less conservative stability criteria. First, a new delay-product-type LKF, including single integral terms with time-varying delays as coefficients is developed, and two stability criteria with less conservatism due to more delay information included are established for different allowable delay sets. Second, the delay-product-type LKF is further improved by introducing several negative definite quadratic terms based on the idea of matrix-refined-function-based LKF, and two stability criteria with more cross-term information and less conservatism for different allowable delay sets are also obtained. Finally, a numerical example is utilized to verify the effectiveness of the proposed methods.
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