Papers

8

Total Citations

144

H-Index

5

About

Ali Soltani Sharif Abadi is a leading researcher in advanced control systems, sliding mode control, and state observer design, with a particular focus on high-stakes applications in medical robotics. His work addresses fundamental challenges in nonlinear, mismatched uncertain systems, where he has pioneered fuzzy adaptive fixed-time sliding mode control methods—a contribution that has garnered 76 citations and established a foundation for robust, fast-converging controllers. Abadi’s research extends into human–robot collaboration, where he has developed fixed-time observer-based controllers for exoskeletons, enabling accurate interaction force estimation without relying on direct force sensors. In the domain of robotic eye surgery, he has made notable contributions by designing controllers for teleoperated systems under unknown communication time delays and by developing state observers for precise force and displacement estimation during corneal surgery. His review on challenges in robotic eye surgery has become a key reference in the field. With over 140 citations across his most-cited works, Abadi is recognized for bridging theoretical control advances with practical, life-critical applications in wearable electronics and surgical robotics.

Research Focus

Key Achievements

5
H-Index
8
Papers
144
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy Adaptive Fixed-time Sliding Mode Control with State Observer for A Class of High-order Mismatched Uncertain Systems
76 citations · 2020
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Yazd University, Warsaw University of Technology, Embedded Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago