G.‐L. Osorio‐Gordillo

Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico

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About

G.-L. Osorio-Gordillo is a leading researcher in the field of nonlinear and descriptor systems, with a focus on advanced observer design and fault detection. Their work centers on developing robust estimation techniques for complex systems, particularly those affected by unknown inputs, disturbances, and nonlinearities. A key contribution is their 2019 paper on \(H_\infty\) dynamic observers for nonlinear systems with unknown inputs, which has garnered 18 citations and introduced a novel approach to observer design that balances robustness and performance. They have also advanced the theory of functional observers for descriptor nonlinear systems, employing Takagi-Sugeno fuzzy models to handle system complexity, as seen in their 2023 work. More recently, Osorio-Gordillo has tackled sensor fault detection in linear parameter-varying (LPV) systems using interval observers, a method that provides guaranteed bounds on state estimates despite bounded disturbances. Their research is highly impactful for control theory and practical applications in automation and safety-critical systems, offering powerful tools for state estimation and fault diagnosis in challenging environments.