LMI‐based stability analysis for delayed discrete‐time systems with saturation nonlinearities verified via FPGA hardware

Abstract This paper proposes a novel stability criterion for discrete‐time systems (DTS) with time‐varying delays (TVD) and saturation nonlinearities arising from finite‐wordlength effects. The criterion is derived using a delay‐variation‐rate‐dependent Lyapunov–Krasovskii functional (LKF) within a linear matrix inequality (LMI) framework, providing less conservative stability conditions compared to existing methods. The effectiveness of the proposed approach is demonstrated through comprehensive numerical examples and validated on FPGA hardware, where the observed behavior closely matches theoretical predictions, confirming the practical viability of the proposed criterion.

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Publication Details

Journal
Asian Journal of Control
Published
2026-02-26
DOI
https://doi.org/10.1002/asjc.70092
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

LMI‐based stability analysis for delayed discrete‐time systems with saturation nonlinearities verified via FPGA hardware

Siva Kumar Tadepalli, Rahul Prakash, Kuldip Kumar
Asian Journal of Control
Stability and Control of Uncertain Systems
article

LMI‐based stability analysis for delayed discrete‐time systems with saturation nonlinearities verified via FPGA hardware

Siva Kumar Tadepalli, Rahul Prakash, Kuldip Kumar
article en

Abstract

Abstract This paper proposes a novel stability criterion for discrete‐time systems (DTS) with time‐varying delays (TVD) and saturation nonlinearities arising from finite‐wordlength effects. The criterion is derived using a delay‐variation‐rate‐dependent Lyapunov–Krasovskii functional (LKF) within a linear matrix inequality (LMI) framework, providing less conservative stability conditions compared to existing methods. The effectiveness of the proposed approach is demonstrated through comprehensive numerical examples and validated on FPGA hardware, where the observed behavior closely matches theoretical predictions, confirming the practical viability of the proposed criterion.

Asian Journal of Control
Hemwati Nandan Bahuguna Garhwal University (IN), National Institute of Technology Srinagar (IN)
Openalex Percentile: Top 33%
Stability and Control of Uncertain Systems
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