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20172026
most citedWhen to stop value iteration: stability and near-optimality versus computation

2 citations · 5 across the 16 of their papers we have counts for

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14 papers · 1 filter

eess.SY2026

Robust stabilization with spiking neuronal communication

Elena Petri, Romain Postoyan, Erik Steur +2

Neuromorphic engineering develops hardware and software systems inspired by biological neurons, with the goal of achieving energy-efficient, low-latency, robust, and adaptive compu…

eess.SY2026

Solution Concepts and Existence Results for Hybrid Systems with Continuous-time Inputs

W. P. M. H. Heemels, R. Postoyan, P. Bernard +2

In many scenarios, it is natural to model a plant's dynamical behavior using a hybrid dynamical system influenced by exogenous continuous-time inputs. While solution concepts and a…

eess.SY2025

Observer Design for Networked Linear Systems with Fast and Slow Dynamics under Measurement Noise

Weixuan Wang, Alejandro I. Maass, Dragan Nešić +3

This paper addresses the emulation-based observer design for networked control systems (NCS) with linear plants that operate at two time scales in the presence of measurement noise…

eess.SY2024

Mixed Regular and Impulsive Sampled-data LQR

Jamal Daafouz, Jérôme Lohéac, Romain Postoyan

We investigate the benefits of combining regular and impulsive inputs for the control of sampled-data linear time-invariant systems. We first observe that adding an impulsive term…

eess.SY2024

Discrete-Time Conewise Linear Systems with Finitely Many Switches

Jamal Daafouz, Jérôme Lohéac, Constantin Morărescu +1

We investigate discrete-time conewise linear systems (CLS) for which all the solutions exhibit a finite number of switches. By switches, we mean transitions of a solution from one…

eess.SY2024

A hybrid systems framework for data-based adaptive control of linear time-varying systems

Andrea Iannelli, Romain Postoyan

We consider the data-driven stabilization of discrete-time linear time-varying systems. The controller is defined as a linear state-feedback law whose gain is adapted to the plant…