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20212026
most citedFeedback and Open-Loop Nash Equilibria for LQ Infinite-Horizon Discrete-Time Dynamic Games

12 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2026

Direct Data-Driven Approximate Optimal Control of Nonlinear Input-Affine Systems

Benita Nortmann, Thulasi Mylvaganam

In this paper, we combine a data-driven system representation with a framework to systematically construct (approximate) solutions to nonlinear optimal control problems. By immersi…

eess.SY2025

One Equation to Rule Them All -- Part II: Direct Data-Driven Reduction and Regulation

Junyu Mao, Emyr Williams, Thulasi Mylvaganam +1

The Sylvester equation underpins a wide spectrum of control synthesis and systems analysis tools associated with cascade interconnections. In the preceding Part I [1] of this artic…

eess.SY2025

One Equation to Rule Them All -- Part I: Direct Data-Driven Cascade Stabilisation

Junyu Mao, Emyr Williams, Thulasi Mylvaganam +1

In this article we present a framework for direct data-driven control for general problems involving interconnections of dynamical systems. We first develop a method to determine t…

math.OC2024★ 4 cited

Feedback Nash equilibria for scalar N-player linear quadratic dynamic games

Benita Nortmann, Mario Sassano, Thulasi Mylvaganam

Considering infinite-horizon, discrete-time, linear quadratic, N-player dynamic games with scalar dynamics, a graphical representation of feedback Nash equilibrium solutions is pro…

math.OC2023★ 12 cited

Feedback and Open-Loop Nash Equilibria for LQ Infinite-Horizon Discrete-Time Dynamic Games

A. Monti, B. Nortmann, T. Mylvaganam +1

We consider dynamic games defined over an infinite horizon, characterized by linear, discrete-time dynamics and quadratic cost functionals. Considering such linear-quadratic (LQ) d…

math.OC2021★ 3 cited

Direct data-driven control of LTV systems

Benita Nortmann, Thulasi Mylvaganam

Considering discrete-time linear time-varying systems with unknown dynamics, controllers guaranteeing bounded closed-loop trajectories, optimal performance and robustness to proces…