Mario Serrano

Papers

Total Citations

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About

Mario Serrano is a control systems researcher specializing in nonlinear multivariable systems, with a particular focus on robotic applications. His work centers on developing innovative control techniques that address the fundamental challenges of tracking control and dynamic variations in robotic manipulators. Serrano’s most impactful contribution is the linear algebra based controller (LABC), a systematic design methodology introduced in his 2019 paper, which has garnered 12 citations. This approach provides a structured procedure for controller design while analyzing the effects of additive uncertainty on tracking error—a critical consideration for real-world robotic systems. Building on this foundation, his 2020 work (6 citations) introduces a novel saturated control technique integrated with a neural dynamics variations observer, offering enhanced robustness for robot manipulator control. The saturated control law, based on sinusoidal functions, demonstrates Serrano’s ability to combine mathematical rigor with practical implementation concerns. While his citation counts reflect an emerging career, the methodological clarity and practical orientation of his work suggest growing influence in the robotics control community. Serrano’s research bridges theoretical control design and applied robotics, making his contributions particularly valuable for engineers developing precise, reliable robotic systems.