activity
20232025
most citedPredictive control of wastewater treatment plants as energy-autonomous water resource recovery facilities

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2025★ 3 cited

Predictive control of wastewater treatment plants as energy-autonomous water resource recovery facilities

Otacilio B. L. Neto, Michela Mulas, Iiro Harjunkoski +1

This work proposes an automatic control solution for the operation of conventional wastewater treatment plants (WWTPs) as energy-autonomous water resource recovery facilities. We f…

math.OC2025

A system-level approach to generalized feedback Nash equilibrium seeking in partially observed games

Otacilio B. L. Neto, Michela Mulas, Francesco Corona

This work proposes an algorithm for seeking generalized feedback Nash equilibria (GFNE) in noncooperative dynamic games. The focus is on cyber-physical systems with dynamics which…

math.OC2024

SLS-BRD: A system-level approach to seeking generalised feedback Nash equilibria

Otacilio B. L. Neto, Michela Mulas, Francesco Corona

This work proposes a policy learning algorithm for seeking generalised feedback Nash equilibria (GFNE) in -player noncooperative dynamic games. We consider linear-quadratic ga…

eess.SY2024★ 1 cited

A model-based framework for controlling activated sludge plants

Otacilio B. L. Neto, Michela Mulas, Francesco Corona

This work presents a general framework for the advanced control of a common class of activated sludge plants (ASPs). Based on a dynamic model of the process and plant sensors and a…

cs.LG2023

Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process

Eduardo Fernandes Montesuma, Michela Mulas, Fred Ngolè Mboula +2

In system monitoring, automatic fault diagnosis seeks to infer the systems' state based on sensor readings, e.g., through machine learning models. In this context, it is of key imp…