文献类型：期刊文献

英文题名：Finite-precision stabilization for neutrosophic linear systems using a descriptor model approach

作者：Ling, Rongyao[1,2]; Shi, Songquan[1]; Cui, Wenhua[1]; Fang, Yiming[1]

机构：[1] College of Mechanical and Electrical Engineering, Shaoxing University, China; [2] College of Mechanical and Electrical Engineering, Shihezi University, China

年份：2025

卷号：80

起止页码：478

外文期刊名：Neutrosophic Sets and Systems

收录：EI(收录号：20251518203951)、Scopus(收录号：2-s2.0-105002011105)

语种：英文

外文关键词：Closed loop systems - Describing functions - Fixed point arithmetic - Linear systems - Numerical methods - System theory

外文摘要：This paper focuses on the stabilization problem of neutrosophic linear systems using finite-precision digital controllers. The main challenge lies in decoupling and processing the indeterminacies inherent in such systems. To tackle this, a standardization method that unifies the bounds of parameter indeterminacies is first proposed. Additionally, a fixed-point representation scheme is introduced to define both the precision and representation of the controller parameters. To handle multiple uncertainties in the system, a descriptor model approach is introduced, which transforms the closed-loop system into a singular system, allowing for more effective decoupling of uncertainties. Using singular system theory, a novel solvability condition is derived for system stabilization and a parametric approach for controller design is introduced, accompanied by a numerical example to validate the proposed methods. ? 2025, University of New Mexico. All rights reserved.