Marcelo Menezes Morato

Orcid: 0000-0002-7137-0522

According to our database1, Marcelo Menezes Morato authored at least 14 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Model predictive control design for linear parameter varying systems: A survey.
Annu. Rev. Control., 2020

An optimal predictive control strategy for COVID-19 (SARS-CoV-2) social distancing policies in Brazil.
Annu. Rev. Control., 2020

Sub-optimal Linear Parameter Varying Model Predictive Control for Solar Collectors.
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



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