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20232026
most citedSystematic interval observer design for linear systems

1 citations · 2 across the 7 of their papers we have counts for

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eess.SY2026

Interval Observer Design Using Observability Decomposition for Detectable Linear Systems

Gia Quoc Bao Tran, Thach Ngoc Dinh, Zhenhua Wang

We provide a systematic interval observer design method for detectable linear time-invariant (LTI) systems, where a part of the state is observable from the measured output. An obs…

eess.SY2025

Novel Stability Criteria for Discrete and Hybrid Systems via Ramanujan Inner Products

Shyam Kamal, Sunidhi Pandey, Thach Ngoc Dinh +1

This paper introduces a Ramanujan inner product and its corresponding norm, establishing a novel framework for the stability analysis of hybrid and discrete-time systems as an alte…

eess.SY2024★ 1 cited

Systematic interval observer design for linear systems

Thach Ngoc Dinh, Gia Quoc Bao Tran

We first develop systematic and comprehensive interval observer designs for linear time-invariant (LTI) systems, under standard assumptions of observability and interval bounds on…

eess.SY2024

A Unified KKL-based Interval Observer for Nonlinear Discrete-time Systems

Thach Ngoc Dinh, Gia Quoc Bao Tran

This work proposes an interval observer design for nonlinear discrete-time systems based on the Kazantzis-Kravaris/Luenberger (KKL) paradigm. Our design extends to generic nonlinea…

eess.SY2023

Resilient State Estimation for Nonlinear Discrete-Time Systems via Input and State Interval Observer Synthesis

Mohammad Khajenejad, Zeyuan Jin, Thach Ngoc Dinh +1

This paper addresses the problem of resilient state estimation and attack reconstruction for bounded-error nonlinear discrete-time systems with nonlinear observations/ constraints,…

eess.SY2023★ 1 cited

Offline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Selection of Methodological Approaches and Their Application

Andreas Rauh, Marit Lahme, Simon Rohou +4

Control and state estimation procedures need to be robust against imprecisely known parameters, uncertainty in initial conditions, and external disturbances. Interval methods and o…