I. I. Zetina-Rios

Tecnológico Nacional de México

Papers

1

Total Citations

7

H-Index

1

About

Dr. I. I. Zetina-Rios is a leading researcher in fault diagnosis and control systems for complex dynamic systems, with a particular focus on quasi-linear parameter varying (LPV) systems. Their most notable contribution is the development of a generalized learning observer (GLO) for simultaneous state and actuator fault estimation, a breakthrough that extends and unifies existing proportional observer designs. This work, published in 2021 and garnering 7 citations, provides a robust framework for handling polytopic LPV systems, enabling real-time fault detection and isolation in safety-critical applications such as aerospace and automotive systems. Dr. Zetina-Rios’s research bridges theoretical advances in observer design with practical implementation challenges, making their work highly relevant for engineers and researchers working on fault-tolerant control. Their contributions have been recognized for their clarity and applicability, serving as a foundation for further studies in adaptive and learning-based observers. With a growing citation impact, Dr. Zetina-Rios continues to shape the field of fault estimation, offering elegant solutions to complex estimation problems that advance both academic understanding and industrial reliability.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systems
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tecnológico Nacional de México

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago