Input‐Based Adaptive Event‐Triggered Control Under a Network Resource‐Constrained Environment

ABSTRACT The work proposes an input‐based event‐triggered mechanism with parameterized low‐gain feedback for a discrete‐time system under a network resource‐constrained environment. The control input depends on a parameter , which can be adaptively scheduled according to the network conditions. The control input is designed using the seminal concept of low‐gain feedback. Further, we establish an explicit relation between inter‐event time and the control parameter. Stability with the proposed triggering rule is established, and the proposed theory is verified using an active suspension system.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-02-07
DOI
https://doi.org/10.1002/rnc.7865
Citations
1
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Input‐Based Adaptive Event‐Triggered Control Under a Network Resource‐Constrained Environment

Poonam Sahu, Deepak Fulwani
1 citations
International Journal of Robust and Nonlinear Control
Stability and Control of Uncertain Systems
1.21
article

Input‐Based Adaptive Event‐Triggered Control Under a Network Resource‐Constrained Environment

Poonam Sahu, Deepak Fulwani
article en
1 citations

Abstract

ABSTRACT The work proposes an input‐based event‐triggered mechanism with parameterized low‐gain feedback for a discrete‐time system under a network resource‐constrained environment. The control input depends on a parameter , which can be adaptively scheduled according to the network conditions. The control input is designed using the seminal concept of low‐gain feedback. Further, we establish an explicit relation between inter‐event time and the control parameter. Stability with the proposed triggering rule is established, and the proposed theory is verified using an active suspension system.

International Journal of Robust and Nonlinear ControlVol. 35(9)
Indian Institute of Technology Jodhpur (IN)
Openalex Percentile: Top 25%
Stability and Control of Uncertain Systems
1.21
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.