Alessandro Jacoud Peixoto
Federal Center for Technological Education Celso Suckow da Fonseca, Universidade Federal do Rio de Janeiro
Papers
8
Total Citations
189
H-Index
6
About
Alessandro Jacoud Peixoto is a leading researcher in nonlinear control systems and robotics, with a particular focus on sliding mode control for uncertain multivariable systems. His most influential work, a 2010 paper on sliding mode control of uncertain multivariable nonlinear systems with unknown control direction, has garnered 111 citations and introduces a novel switching and monitoring function approach that overcomes a fundamental challenge in control theory. This contribution has been extended to uncalibrated robotics visual servoing, where his 2014 and 2009 papers (26 and 19 citations, respectively) demonstrate how sliding mode control can eliminate the need for velocity measurements and camera calibration. Beyond theoretical advances, Peixoto has made significant practical contributions to offshore robotics. As a key developer of the DORIS robot for offshore facility monitoring (10 citations) and the ARIEL system for oil spill detection, he bridges the gap between control theory and real-world automation. His work on chattering avoidance in observer-based sliding mode control (2024, 10 citations) continues to push the boundaries of robust control design. With research spanning from fundamental control theory to applied robotics for the oil and gas industry, Peixoto's work exemplifies how rigorous control theory can solve pressing industrial challenges.
Research Focus
Key Achievements
Top Papers
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- 4DORIS - Monitoring Robot for Offshore Facilities10 citations · 2013
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- 7ARIEL: An Autonomous Robotic System for Oil Spill Detection3 citations · 2020
- 8Robotized system for in-pipe inspection2 citations · 2004