activity
20232026
collaborators

14 papers

math.OC2026

Partial-State Deadzone-Adapted Disturbance Suppression Control For Strict-Feedback Systems

Iasson Karafyllis, Alexandros Aslanidis, Miroslav Krstic

In this paper we provide an extension of the partial-state Deadzone-Adapted Disturbance Suppression (DADS) adaptive control scheme in the case of strict-feedback systems. We study…

math.OC2026

On the Existence of Almost Periodic Solutions with Applications to Global Entrainment

Iasson Karafyllis, Miroslav Krstic

This paper provides two results that are useful in the study of the existence and the stability properties of almost periodic solutions for a given dynamical system. The obtained r…

eess.SY2026

Lotka-Sharpe Neural Operators for Control of Population PDEs

Miroslav Krstic, Iasson Karafyllis, Luke Bhan +1

Age-structured predator-prey integro-partial differential equations provide models of interacting populations in ecology, epidemiology, and biotechnology. A key challenge in feedba…

math.DS2026

Global Stability Analysis of the Age-Structured Chemostat With Substrate Dynamics

Iasson Karafyllis, Dionysios Theodosis, Miroslav Krstic

In this paper we study the stability properties of the equilibrium point for an age-structured chemostat model with renewal boundary condition and coupled substrate dynamics under…

math.OC2026

On the Existence of Periodic Solutions with Applications to Extremum-Seeking

Iasson Karafyllis, Miroslav Krstic

This paper provides two results that are useful in the study of the existence and the stability properties of a periodic solution for a given dynamical system. The first result dea…

math.OC2025

The Age-Structured Chemostat with Substrate Dynamics as a Control System

Iasson Karafyllis, Dionysis Theodosis, Miroslav Krstic

In this work we study an age-structured chemostat model with a renewal boundary condition and a coupled substrate equation. The model is nonlinear and consists of a hyperbolic part…

math.OC2025

DADS Under Unknown Input Coefficients

Iasson Karafyllis, Miroslav Krstic

This short note shows that the Deadzone-Adapted Disturbance Suppression (DADS) adaptive control scheme is applicable to systems with unknown input coefficients. We study time-invar…

math.OC2025

Partial-State DADS Control for Matched Unmodeled Dynamics

Iasson Karafyllis, Miroslav Krstic

We extend the Deadzone-Adapted Disturbance Suppression (DADS) control to time-invariant systems with dynamic uncertainties that satisfy the matching condition and for which no boun…

math.OC2025

Global Stabilization of Chemostats with Nonzero Mortality and Substrate Dynamics

Iasson Karafyllis, Epiphane Loko, Miroslav Krstic +1

In "chemostat"-type population models that incorporate substrate (nutrient) dynamics, the dependence of the birth (or growth) rate on the substrate concentration introduces nonline…

math.OC2024

Global Stability Notions to Enhance the Rigor and Robustness of Adaptive Control

Iasson Karafyllis, Miroslav Krstic

Stability theory plays a crucial role in feedback control. However, adaptive control theory requires advanced and specialized stability notions that are not frequently used in stan…

math.OC2024

A Complete Inverse Optimality Study for a Tank-Liquid System

Iasson Karafyllis, Filippos Vokos, Miroslav Krstic

This paper presents a complete inverse optimality study for a linearized tank-liquid system where the liquid is described by the viscous Saint-Venant model with surface tension and…

math.OC2024

From Road Congestion to Vehicle-Control Enabled Artificial Traffic Fluids

Iasson Karafyllis, Dionysios Theodosis, Markos Papageorgiou +1

This article provides an overview of the design of nonlinear feedback Cruise Controllers (CCs) for automated vehicles on lane-free roads. The feedback design problem is particularl…

math.OC2024

Deadzone-Adapted Disturbance Suppression Control for Strict-Feedback Systems

Iasson Karafyllis, Miroslav Krstic, Alexandros Aslanidis

In this paper we extend our recently proposed Deadzone-Adapted Disturbance Suppression (DADS) Control approach from systems with matched uncertainties to general systems in paramet…

math.OC2023

Deadzone-Adapted Disturbance Suppression Control for Global Practical IOS and Zero Asymptotic Gain to Matched Uncertainties

Iasson Karafyllis, Miroslav Krstic

In this paper we study a special class of systems: time-invariant control systems that satisfy the matching condition for which no bounds for the disturbance and the unknown parame…