activity
20162026
most citedConvex Constrained Semialgebraic Volume Optimization: Application in Systems and Control

5 citations · 8 across the 18 of their papers we have counts for

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16 papers · 1 filter

eess.SY2026

A Dynamic Phasor Framework for Analysis of Subsynchronous Oscillations in Multi-Machine Systems with IBRs and Large Loads

Fiaz Hossain, Nilanjan Ray Chaudhuri, Constantino M. Lagoa +3

Although the electromagnetic transient (EMT) framework can capture subsynchronous oscillations (SSOs), it faces scalability issues for large-scale systems. Thus motivated, we propo…

eess.SY2026

A Dynamic Phasor Framework for Analysis of IBR-Induced SSOs in Multi-Machine Systems

Fiaz Hossain, Nilanjan Ray Chaudhuri, Constantino M. Lagoa

We propose a generalized dynamic phasor (DP) framework to analyze inverter-based resources (IBRs) connected to multi-machine systems under balanced and unbalanced conditions. It ca…

eess.SY2026

RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets

Omar M. Sleem, Sahand Kiani, Constantino M. Lagoa

This paper proposes a method for estimating a surface that contains a given set of points from noisy measurements. More precisely, by assuming that the surface is described by the…

eess.SY2026

Willems' Fundamental Lemma with Large Noisy Fragmented Dataset

Sahand Kiani, Constantino M. Lagoa

Willems' Fundamental Lemma enables parameterizing all trajectories generated by a Linear Time-Invariant (LTI) system directly from data. However, this lemma relies on the assumptio…

eess.SY2025

Robust Data-Driven Invariant Sets for Nonlinear Systems

Sahand Kiani, Constantino M. Lagoa

The synthesis of robust invariant sets for nonlinear systems has traditionally been hindered by the inherent non convexity and a strict reliance on exact analytical models. This pa…

eess.SY2025

Identification of contractive Lur'e-type systems via kernel-based Lipschitz design

Cesare Donati, Fabrizio Dabbene, Constantino Lagoa +2

This paper addresses the problem of identifying contractive Lur'e-type systems. Specifically, it proposes an identification framework that integrates linear prior knowledge with a…