Marcelo Menezes Morato
Orcid: 0000-0002-7137-0522
According to our database1,
Marcelo Menezes Morato
authored at least 17 papers
between 2013 and 2024.
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Bibliography
2024
A robust nonlinear tracking MPC using qLPV embedding and zonotopic uncertainty propagation.
J. Frankl. Inst., 2024
On Robust and Predictive Control Approaches for Linear Parameter Varying Systems: Application to Vehicle Lateral Control.
Found. Trends Syst. Control., 2024
2023
Sufficient Conditions for Convergent Recursive Extrapolation of qLPV Scheduling Parameters Along a Prediction Horizon.
IEEE Trans. Autom. Control., June, 2023
Teaching control with Basic Maths: Introduction to Process Control course as a novel educational approach for undergraduate engineering programs.
CoRR, 2023
Tutorial: Implementando Controladores Preditivos Não Lineares através do Ferramental LPV.
CoRR, 2023
2022
A predictive fault tolerant control method for qLPV systems subject to input faults and constraints.
J. Frankl. Inst., 2022
NMPC via qLPV models and Taylor-based Scheduling Parameter Extrapolation: A Cartesian Robot Case Study.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
MPC-based optimal parameter scheduling of LPV controllers: Application to Lateral ADAS Control.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
2021
Short-Sighted Robust LPV Model Predictive Control: Application to Semi-Active Suspension Systems.
Proceedings of the 2021 European Control Conference, 2021
2020
Nonlinear Temperature Regulation of Solar Collectors with a Fast Adaptive Polytopic LPV MPC Formulation.
CoRR, 2020
Annu. Rev. Control., 2020
An optimal predictive control strategy for COVID-19 (SARS-CoV-2) social distancing policies in Brazil.
Annu. Rev. Control., 2020
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020
2019
Design of a fast real-time <i>LPV</i> model predictive control system for semi-active suspension control of a full vehicle.
J. Frankl. Inst., 2019
2013
SMADAS: A Team for MAPC Considering the Organization and the Environment as First-Class Abstractions.
Proceedings of the Engineering Multi-Agent Systems - First International Workshop, 2013
Proceedings of the Engineering Multi-Agent Systems - First International Workshop, 2013