activity
20202025
most citedEfficient simulation strategy for PCM-based cold-energy storage systems

22 citations · 30 across the 12 of their papers we have counts for

collaborators

13 papers

eess.SY2025

Predictor-Based Compensators for Networked Control Systems with Stochastic Delays and Sampling Intervals

Matheus Wagner, Marcelo M. Morato, Antônio Augusto Fröhlich +1

The stochastic nature of time delays and sampling intervals in Networked Control Systems poses significant challenges for controller synthesis and analysis, often leading to conser…

eess.SY2024

RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods

Matheus Wagner, Julio E. Normey-Rico

Recent efforts in the development of autonomous driving technology have induced great advancements in perception, planning and control systems. Model predictive control is one of t…

math.OC2024★ 8 cited

Optimal control analysis and Practical NMPC applied to refrigeration systems

G. Bejarano, M. G. Ortega, J. E. Normey-Rico +1

This work is focused on optimal control of mechanical compression refrigeration systems. A reduced-order state-space model based on the moving boundary approach is proposed for the…

eess.SY2024★ 22 cited

Efficient simulation strategy for PCM-based cold-energy storage systems

G. Bejarano, M. Vargas, M. G. Ortega +2

This paper proposes a computationally efficient simulation strategy for cold thermal energy storage (TES) systems based on phase change material (PCM). Taking as a starting point t…

physics.ed-ph2023

Teaching control with Basic Maths: Introduction to Process Control course as a novel educational approach for undergraduate engineering programs

Julio Elias Normey-Rico, Marcelo Menezes Morato

In this article, we discuss a novel education approach to control theory in undergraduate engineering programs. In particular, we elaborate on the inclusion of an introductory cour…

eess.SY2023

Nonlinear Data-Driven Control Part II: qLPV Predictive Control using Parameter Extrapolation

Marcelo Menezes Morato, Julio Elias Normey-Rico, Olivier Sename

We present a novel data-driven Model Predictive Control (MPC) algorithm for nonlinear systems. The method is based on recent extensions of behavioural theory and Willem's Fundament…

eess.SY2023

Nonlinear Data-Driven Control Part I: Trajectory Representation under quasi-Linear Parameter Varying Embeddings

Marcelo Menezes Morato, Julio Elias Normey-Rico, Olivier Sename

Recent literature has shown how linear time-invariant (LTI) systems can be represented by trajectories features, that is relying on a single input-output (IO) data dictionary to sp…

q-bio.PE2020

A Parametrized Nonlinear Predictive Control Strategy for Relaxing COVID-19 Social Distancing Measures in Brazil

Marcelo M. Morato, Igor M. L. Pataro, Marcus V. Americano da Costa +1

In this paper, we formulate a Nonlinear Model Predictive Control (NMPC) to plan appropriate social distancing measures (and relaxations) in order to mitigate the COVID-19 pandemic…

eess.SY2020

Nonlinear Temperature Regulation of Solar Collectors with a Fast Adaptive Polytopic LPV MPC Formulation

Hugo A. Pipino, Marcelo M. Morato, Emanuel Bernardi +2

Temperature control in solar collectors is a nonlinear problem: the dynamics of temperature rise vary according to the oil flowing through the collector and to the temperature grad…

q-bio.PE2020

The COVID-19 (SARS-CoV-2) Uncertainty Tripod in Brazil: Assessments on model-based predictions with large under-reporting

Saulo B. Bastos, Marcelo M. Morato, Daniel O. Cajueiro anda Julio E Normey-Rico

The COVID-19 pandemic (SARS-CoV-2 virus) is the defying global health crisis of our time. The absence of mass testing and the relevant presence of asymptomatic individuals causes t…

physics.soc-ph2020

Optimal Control Concerns Regarding the COVID-19 (SARS-CoV-2) Pandemic in Bahia and Santa Catarina, Brazil

Marcelo M. Morato, Igor M. L. Pataro, Marcus V. Americano da Costa +1

The COVID-19 pandemic is the profoundest health crisis of the 21rst century. The SARS-CoV-2 virus arrived in Brazil around March, 2020 and its social and economical backlashes are…

eess.SY2020

Characterizing Quality of Experience for Demand Management in South Brazil

José Diogo Forte de Oliveira Luna, Guilherme Nascimento Gouvêa dos Reis, Paulo Renato da Costa Mendes +1

The present work delivers the results of a survey conducted in Florianópolis, on the southern region of Brazil, using a digital questionnaire which inquired about the interaction w…

q-bio.PE2020

An Optimal Predictive Control Strategy for COVID-19 (SARS-CoV-2) Social Distancing Policies in Brazil

Marcelo Menezes Morato, Saulo Benchimol Bastos, Daniel Oliveira Cajueiro +1

The global COVID-19 pandemic (SARS-CoV-2 virus) is the defining health crisis of our century. Due to the absence of vaccines and drugs that can help to fight it, the world solution…