Elham Tavasolipour

Iran University of Science and Technology

Papers

2

Total Citations

19

H-Index

2

About

Elham Tavasolipour is a control systems researcher whose work focuses on robust fault estimation and observer design for complex nonlinear systems. Her primary research areas include dissipativity theory, fault-tolerant control, and disturbance rejection in dynamical systems. Tavasolipour’s major contribution lies in developing novel observer-based frameworks that can accurately estimate faults even when systems are subject to state-coupled disturbances—a notoriously challenging problem in nonlinear control. Her 2020 paper, “A new approach for robust fault estimation in nonlinear systems with state-coupled disturbances using dissipativity theory,” has garnered 15 citations, demonstrating its impact on the field. This work, along with her 2019 study on Lipschitz nonlinear systems, introduces rigorous dissipativity-based conditions that ensure robust fault estimation without requiring restrictive assumptions on system dynamics. Her approaches are particularly valuable for safety-critical applications such as aerospace, automotive, and industrial process control, where early and reliable fault detection can prevent catastrophic failures. Tavasolipour’s research bridges theoretical advances in nonlinear control with practical implementation needs, making her work essential reading for engineers and researchers working on fault diagnosis and resilient control systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A new approach for robust fault estimation in nonlinear systems with state-coupled disturbances using dissipativity theory
15 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Iran University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago