Research

My main line of research is concerned with control and filtering theory and applications for dynamic systems. More specifically, I have contributed to the field of Markov jump systems (MJS) with partial observations of the Markov chain, semi-MJS, and hybrid systems, focusing on the use of the Linear Matrix Inequality (LMI) framework on control systems problems, such as stochastic and robust control, and filtering. I am also interested in the fields of Fault-tolerant Systems and Networked Control Systems. More recently, I have also researched the subjects of Internet of Things, Autonomous Systems and Robotics, and Machine Learning. I also joined the research group GIBIS and co-founded the Research Group for Control, Automation, and Intelligente Systems (CAIS), which I am currently coordinating.

You can find below a few selected works in each subject and my complete list of works here.

Control Theory

de Oliveira, André Marcorin, and Oswaldo Luiz do Valle Costa. "Mixed H2∕ H∞ control of hidden Markov jump systems." International Journal of Robust and Nonlinear Control 28 (2017): 1261-1280. DOI: https://doi.org/10.1002/rnc.3952
de Oliveira, Andre Marcorin, and Oswaldo Luiz do Valle Costa. "An iterative approach for the discrete‐time dynamic control of Markov jump linear systems with partial information." International Journal of Robust and Nonlinear Control 30.2 (2020): 495-511. DOI: https://doi.org/10.1002/rnc.4771
de Oliveira, A. M., et al. "Dynamic output feedback control for continuous-time Markov jump linear systems with hidden Markov models." International Journal of Control 95.3 (2022): 716-728. DOI: https://doi.org/10.1080/00207179.2020.1817566

Filtering

de Oliveira, André Marcorin and Oswaldo LV Costa. " Robust H2 Filtering of Phase-Type Semi-Markov Jump Linear Systems with Cluster Observations." International Journal of Robust and Nonlinear Control. To appear. DOI: https://doi.org/10.1002/rnc.7253
de Oliveira, André Marcorin, and Oswaldo LV Costa. "H 2-filtering for discrete-time hidden Markov jump systems." International Journal of Control 90.3 (2017): 599-615. DOI: https://doi.org/10.1080/00207179.2016.1186844
de Oliveira, André Marcorin, and Oswaldo LV Costa. "H∞-filtering for Markov jump linear systems with partial information on the jump parameter." IFAC Journal of Systems and Control 1 (2017): 13-23. DOI: https://doi.org/10.1016/j.ifacsc.2017.05.002

Fault-tolerant systems

Carvalho, Leonardo De Paula, André Marcorin De Oliveira, and Oswaldo Luiz Do Valle Costa. "H2 / Hoo Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation." IEEE Access 8 (2020): 11979-11990. DOI: 10.1109/ACCESS.2020.2964163
Pereira, Henrique WR, et al. "Robust Sampled-Data Fault Detection Filtering Through Differential Linear Matrix Inequalities." IEEE Control Systems Letters (2023). DOI: https://doi.org/10.1109/LCSYS.2023.3317015

Networked Control Systems

Varma, Vineeth Satheeskumar, et al. "Energy-efficient time-triggered communication policies for wireless networked control systems." IEEE Transactions on Automatic Control 65.10 (2019): 4324-4331. DOI: https://doi.org/10.1109/TAC.2019.2953816
de Oliveira, André Marcorin, et al. "Network-aware controller design with performance guarantees for linear wireless systems." IEEE Transactions on Automatic Control 66.9 (2020): 4297-4302. DOI: https://doi.org/10.1109/TAC.2020.3035537

Internet of Things, Autonomous Systems and Robotics, and Machine Learning

Sudo, Marcelo A., et al. "Design and Analysis of a Low-Cost Weather Monitoring System based on Standard IoT Data Protocols." 2022 IEEE International Systems Conference (SysCon). IEEE, 2022. DOI: https://doi.org/10.1109/SysCon53536.2022.9773845
Souza, Fabrício C., et al. "Influence of network topology on uavs formation control based on distributed consensus." 2022 IEEE International Systems Conference (SysCon). IEEE, 2022. DOI: https://doi.org/10.1109/SysCon53536.2022.9773824
Souza, Bruno V., et al. "Modelling of Virtual Sensors for Manufacturing Process using Gradient Boosting Technique." 2023 IEEE International Systems Conference (SysCon). IEEE, 2023. DOI: https://doi.org/10.1109/SysCon53073.2023.10131061
De Souza, Bruno Vilela, et al. "Analyzing and Predicting Overall Equipment Effectiveness in Manufacturing Industries using Machine Learning." 2022 IEEE International Systems Conference (SysCon). IEEE, 2022. DOI: https://doi.org/10.1109/SysCon53536.2022.9773846

My current and past orientations can be found below.

Current students

Adriano Simões Gaspar. Study and Implementation of an Architecture of Federated Learning in IoT Devices. Master Thesis. Adviser: Prof. Sérgio Ronaldo Barros dos Santos. Co-Adviser: Prof. André Marcorin de Oliveira.
Tiago da Silva Cardoso. Simulation of Autonomous Flight of VTOLs through Apriltags as Beacons. Undergraduate Final Project.
Gustavo dos Santos Ferreira. Control of a Robotic Vehicle based on RSSI Measurements. Undergraduate Final Project.
Guilherme Gimenes. Prototype of a Low Cost Meteorological Station Based on IoT. Undergraduate Final Project.
Luiza Peres Viana. Robotic Domestic Assistant: Improving the Life Quality of Senior Citizens through Voice Assistants. Undergraduate Final Project.

Past students

Henrique William Resende Pereira. Optimal Filtering Applied to Sampled-Data Systems. 2023. Doctorate Thesis. Instituto Tecnológico de Aeronáutica, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. Advisor: Gabriela Werner Gabriel. Co-advisor: André Marcorin de Oliveira.
Matheus Assis Neves. Development of a Low Cost Vehicle Security System based on IoT. 2023. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: André Marcorin de Oliveira.
Guilherme Aguiar Christ. Automatization of Backlash Tests in Small Size Aircrafts. 2023. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: André Marcorin de Oliveira. Co-advisor: Sérgio Ronaldo Barros dos Santos.
Bruno Campos. Development of a Multiagent Scheduler for Autonomous Construction through Reinforcement Learning. 2023. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: Sérgio Ronaldo Barros dos Santos. Co-advisor: André Marcorin de Oliveira.
Raphael Ribeiro Faria. Study and Simulation of Autonomous Vehicles through Model Predictive Control (MPC). 2023. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: Sérgio Ronaldo Barros dos Santos. CooCo-advisorrientador: André Marcorin de Oliveira.
Daniel Barbosa Silva Costa. Data Transfer through Visible Light based on Arduino. 2021. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: André Marcorin de Oliveira; Co-advisor: Fernanda Quelho Rossi.
Gabriel Borin Takahashi. Improvements in the Smart Lamps Automation via Inteligent Use of Color Temperature and Dimmer Effects. 2021. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: Fernanda Quelho Rossi. Co-advisor: André Marcorin de Oliveira.
João Pedro Ballerini Bruno. USB/IP Protocol Applied to an Educational Context for Remote Control of FPGA Development Kits. 2021. Degree Final Project (undergraduate) - Universidade Federal de São Paulo. Advisor: Tiago de Oliveira; Co-advisor: André Marcorin de Oliveira.