An algorithmic recipe to construct Lyapunov functions for nonlinear sectors with quantization mismatch

Abstract This study explores an encoder/decoder mismatched parameter for input quantization with an algorithmic recipe to construct LF for CT nonlinear systems. The sign‐definiteness of LF determines the decomposition of the state space into attractive and nonattractive segments; a CT sector is constructed, and CLF determines its boundary. Here, quantization parameters exhibit a time‐varying ratio due to nonsynchronous adjustment, which causes quantization discrepancy issues that are attenuated by a hands‐off controller based on On‐Off logic to acquire asymptotic stability. Theoretical research and simulation investigations confirm the efficacy of the technology for input quantization.

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Publication Details

Journal
Asian Journal of Control
Published
2026-04-14
DOI
https://doi.org/10.1002/asjc.70102
Primary Topic
Control Systems and Identification
Type
article
Field-Weighted Citation Impact
0.00
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An algorithmic recipe to construct Lyapunov functions for nonlinear sectors with quantization mismatch

Rajvardhan Jigyasu, Ankit Sachan, Sonali Singh, Sunil Kumar et al.
Asian Journal of Control
Control Systems and Identification
article

An algorithmic recipe to construct Lyapunov functions for nonlinear sectors with quantization mismatch

Rajvardhan Jigyasu, Ankit Sachan, Sonali Singh, Sunil Kumar, Sandeep Kumar Soni
article en

Abstract

Abstract This study explores an encoder/decoder mismatched parameter for input quantization with an algorithmic recipe to construct LF for CT nonlinear systems. The sign‐definiteness of LF determines the decomposition of the state space into attractive and nonattractive segments; a CT sector is constructed, and CLF determines its boundary. Here, quantization parameters exhibit a time‐varying ratio due to nonsynchronous adjustment, which causes quantization discrepancy issues that are attenuated by a hands‐off controller based on On‐Off logic to acquire asymptotic stability. Theoretical research and simulation investigations confirm the efficacy of the technology for input quantization.

Asian Journal of Control
Motilal Nehru National Institute of Technology (IN), Thapar Institute of Engineering & Technology (IN), Netaji Subhas University of Technology (IN), Indian Institute of Technology Bhilai (IN), Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 13%
Control Systems and Identification
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An algorithmic recipe to construct Lyapunov functions for nonlinear sectors with quantization mismatch — Rajvardhan Jigyasu, Ankit Sachan, et al. · Asian Journal of Control (2026) | TGRS Research Map | TGRS