Papers
20
Total Citations
287
H-Index
7
About
Fernando E. Serrano is a control systems and robotics researcher whose work spans advanced control theory, robotic manipulation, and assistive rehabilitation technologies. His research is most prominently recognized for contributions to sliding mode control, with his 2014 paper on adaptive sliding mode control of the Furuta pendulum accumulating 78 citations and establishing him as a significant voice in nonlinear control design. Serrano has made meaningful strides in addressing real-world control challenges, including backlash compensation in mechanical systems and robust decentralized control for cooperative industrial robots, demonstrating a consistent commitment to bridging theoretical frameworks with practical engineering applications. His work increasingly incorporates intelligent and fractional-order control strategies, blending fuzzy type-2 logic with fractional-order PID and sliding mode controllers to achieve precise trajectory tracking in robotic manipulators — work that has attracted growing attention from the robotics community. Perhaps most notably in the rehabilitation space, his 2020 development of the ALICE lower limb exoskeleton, driven by an on-board musculoskeletal simulator, represents a forward-thinking integration of biomechanics and robotics with 45 citations to date. Across more than a dozen cited works, Serrano's portfolio reflects a versatile researcher pushing the boundaries of intelligent, robust, and human-centered robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Sliding Mode Control of the Furuta Pendulum78 citations · 2014
- 2
- 3Stabilization of Mechanical Systems with Backlash by PI Loop Shaping39 citations · 2016
- 4
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- 6Robust H-Infinity Decentralized Control for Industrial Cooperative Robots20 citations · 2019
- 7
- 8Passivity Based Decoupling of Lagrangian Systems7 citations · 2017
- 9
- 10