On Monotonic Convergence of Relative Degree Two Discrete Time Switching Reaching Law

In this paper, a study on the monotonic convergence of sliding variable is presented for relative degree two switching reaching law in discrete time sliding mode control systems. It is well known from the literature that such convergence cannot be guaranteed in general for the relative degree two reaching laws. The presented work in this paper studies the conditions on the switching reaching law parameter that sufficiently guarantee such monotonic convergence, and these are generalized and presented in the form of a theorem. The theoretical analysis is verified using simulation results.

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/vss61690.2024.10753379
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Monotonic Convergence of Relative Degree Two Discrete Time Switching Reaching Law

Sohom Chakrabarty, S. Majumder
Distributed Control Multi-Agent Systems
article

On Monotonic Convergence of Relative Degree Two Discrete Time Switching Reaching Law

Sohom Chakrabarty, S. Majumder
article en

Abstract

In this paper, a study on the monotonic convergence of sliding variable is presented for relative degree two switching reaching law in discrete time sliding mode control systems. It is well known from the literature that such convergence cannot be guaranteed in general for the relative degree two reaching laws. The presented work in this paper studies the conditions on the switching reaching law parameter that sufficiently guarantee such monotonic convergence, and these are generalized and presented in the form of a theorem. The theoretical analysis is verified using simulation results.

Indian Institute of Technology Roorkee (IN)
Openalex Percentile: Top 76%
Distributed Control Multi-Agent 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.