Corrections to “Finite Time Stability and Optimal Finite Time Stabilization for Discrete-Time Stochastic Dynamical Systems”

This note provides corrections to the statements and proofs of Lemma 4.2 and Theorem 4.1 in [C1]. It also discusses how the statements of the remaining theorems should be adjusted in light of the correction made to Theorem 4.1.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-04-24
DOI
https://doi.org/10.1109/tac.2025.3564220
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corrections to “Finite Time Stability and Optimal Finite Time Stabilization for Discrete-Time Stochastic Dynamical Systems”

Manuel Lanchares, Wassim M. Haddad, Junsoo Lee
IEEE Transactions on Automatic Control
Adaptive Control of Nonlinear Systems
article

Corrections to “Finite Time Stability and Optimal Finite Time Stabilization for Discrete-Time Stochastic Dynamical Systems”

Manuel Lanchares, Wassim M. Haddad, Junsoo Lee
article en

Abstract

This note provides corrections to the statements and proofs of Lemma 4.2 and Theorem 4.1 in [C1]. It also discusses how the statements of the remaining theorems should be adjusted in light of the correction made to Theorem 4.1.

IEEE Transactions on Automatic ControlVol. 70(8)
Georgia Institute of Technology (US), University of South Carolina (US)
Air Force Office of Scientific Research
Openalex Percentile: Top 91%
Adaptive Control of Nonlinear 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.