An Improved Quadratic Function Negative Definiteness Lemma for the Stabilization of Nonlinear Cyber–Physical Systems With Actuator Faults

This article deals with the stabilization of nonlinear cyber-physical systems (CPS) subject to actuator faults via the fault-tolerant control (FTC) algorithm. First, to tackle the time-varying delays taken into the system, we proposed a novel quadratic function negative determination lemma, which derives the sufficient conditions for the corresponding quadratic polynomials arising in the derivatives of Lyapunov-Krasovskii functional (LKF). For this purpose, we are parting the time-delay intervals into uniformly equal subintervals and the tangents intersection is carried out in the region of each partitioned intervals. Thereafter, from the cross-points of tangents in each subinterval and choosing a freely adjustable parameter within the delay bounds, we attained a novel quadratic function negative definiteness conditions which profits with high system performance. By means of Lyapunov stability theory (LST), the sufficient conditions are derived in the form of linear matrix inequalities that ensure the asymptotic stabilization of the addressed system. Finally, numerical simulations including the realm of autonomous ground vehicle (AGV) problem are performed, and the comparative analysis in the line of negative-definite (ND) lemmas is exhibited to showcase the efficacy of the proposed approach (PA).

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2026-02-26
DOI
https://doi.org/10.1109/tcyb.2026.3665243
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Improved Quadratic Function Negative Definiteness Lemma for the Stabilization of Nonlinear Cyber–Physical Systems With Actuator Faults

Harshavarthini Shanmugam, Gomathi Dhanabal
IEEE Transactions on Cybernetics
Control and Stability of Dynamical Systems
article

An Improved Quadratic Function Negative Definiteness Lemma for the Stabilization of Nonlinear Cyber–Physical Systems With Actuator Faults

Harshavarthini Shanmugam, Gomathi Dhanabal
article en

Abstract

This article deals with the stabilization of nonlinear cyber-physical systems (CPS) subject to actuator faults via the fault-tolerant control (FTC) algorithm. First, to tackle the time-varying delays taken into the system, we proposed a novel quadratic function negative determination lemma, which derives the sufficient conditions for the corresponding quadratic polynomials arising in the derivatives of Lyapunov-Krasovskii functional (LKF). For this purpose, we are parting the time-delay intervals into uniformly equal subintervals and the tangents intersection is carried out in the region of each partitioned intervals. Thereafter, from the cross-points of tangents in each subinterval and choosing a freely adjustable parameter within the delay bounds, we attained a novel quadratic function negative definiteness conditions which profits with high system performance. By means of Lyapunov stability theory (LST), the sufficient conditions are derived in the form of linear matrix inequalities that ensure the asymptotic stabilization of the addressed system. Finally, numerical simulations including the realm of autonomous ground vehicle (AGV) problem are performed, and the comparative analysis in the line of negative-definite (ND) lemmas is exhibited to showcase the efficacy of the proposed approach (PA).

IEEE Transactions on CyberneticsVol. 56(4)
Vellore Institute of Technology University (IN)
Climate action
Openalex Percentile: Top 44%
Control and Stability of Dynamical Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.