Papers
8
Total Citations
60
H-Index
5
About
Gerardo Romero is a leading figure in the control of multi-agent systems and robust robotics, with a career dedicated to solving complex coordination and fault-tolerance challenges. His foundational work, "Robust consensus tracking of leader-based multi-agent systems" (15 citations), established a robust optimal control framework for trajectory tracking in leader-follower robot networks, addressing critical issues in cyclic and chain topologies. He further advanced the field with his study on "Forced Multi-Agent Bipartite Consensus Control" (7 citations), which tackled the intricate problem of formation flying for quadrotors under switching antagonistic interactions. In the domain of robust control, Romero introduced a novel LMI-based tuning method for nonlinear controllers applied to robot manipulators (7 citations). His expertise extends to fault-tolerant systems, where he has developed passive fault-tolerant controllers and Hamiltonian-based fault diagnosis methods for robotic helicopters. Demonstrating the breadth of his impact, Romero has also applied multi-agent consensus theory to industrial DC motor synchronization (4 citations) and explored fractional-order PID controllers for enhanced tracking precision. With a portfolio of work that bridges theoretical rigor and practical application, Gerardo Romero continues to shape the future of autonomous and resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Robust consensus tracking of leader-based multi-agent systems15 citations · 2010
- 2Finite-time disturbance observer via continuous fractional sliding modes14 citations · 2017
- 3
- 4New Method for Tuning Robust Controllers Applied to Robot Manipulators7 citations · 2012
- 5Passive Fault-Tolerant Control of a 2-DOF Robotic Helicopter6 citations · 2021
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- 8