Tiago Roux Oliveira
Universidade Federal do Rio de Janeiro, Universidade do Estado do Rio de Janeiro
Papers
8
Total Citations
206
H-Index
7
About
Tiago Roux Oliveira is a Brazilian control systems engineer whose research bridges robust nonlinear control theory and real-world robotic applications. His work centers on sliding mode control (SMC), adaptive control, and visual servoing, with particular emphasis on tackling uncertainty in complex multi-input-multi-output (MIMO) systems. Oliveira's most influential contribution — cited over 110 times — introduced a landmark output-feedback sliding mode strategy for uncertain nonlinear MIMO systems with unknown control direction, a notoriously challenging problem in control engineering. By leveraging switching and monitoring functions, his framework enabled reliable tracking even when fundamental system parameters remain unknown. This theoretical foundation was subsequently extended to uncalibrated robotic visual servoing, allowing robot manipulators to operate effectively without camera calibration or velocity measurements — a practically significant advance for flexible robotics deployments. Beyond theoretical contributions, Oliveira has demonstrated a consistent commitment to applied research, tackling problems in unmanned quadcopter control, inertially stabilized platforms, and gimbal stabilization systems for mobile robots. His 2024 work on chattering avoidance and global stability signals continued engagement with fundamental SMC challenges. Collectively, his publications reflect a researcher who bridges rigorous mathematical analysis and engineering practicality, making meaningful contributions to robust control systems that operate reliably under real-world uncertainty.
Research Focus
Key Achievements
Top Papers
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- 3Unmanned Quadcopter Control Using a Motion Capture System20 citations · 2016
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- 7From adaptive control to variable structure systems – seeking harmony7 citations · 2016
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