Papers

32

Total Citations

268

H-Index

9

About

Ahmad Fakharian is a prominent control systems researcher whose work centers on nonlinear control theory, robotics, and intelligent control strategies. His most significant contributions lie in the application of the State-Dependent Riccati Equation (SDRE) framework to complex, real-world control challenges — particularly for flexible-joint robot manipulators and active prosthetics. His 2020 paper on observer-based robust control for flexible-joint manipulators (31 citations) established a powerful methodology for handling uncertain, nonlinear systems with unmeasurable states, while his 2021 work extended this by combining SDRE with function approximation techniques, addressing both regulation and tracking problems. Fakharian has also made meaningful contributions to fuzzy and adaptive control, demonstrated through his work on omni-directional mobile robots and T-S fuzzy model-based H2/H∞ controllers. Notably, his research extends beyond traditional robotics into biomedical engineering, with pioneering applications of optimal sliding mode and observer-based controllers for active transfemoral prostheses. Across mobile robots, quadrotors, mechanical arms, and prosthetic limbs, his interdisciplinary impact — spanning over 160 cumulative citations — makes his work essential reading for researchers navigating the frontier of nonlinear and intelligent control systems.

Research Focus

Key Achievements

9
H-Index
32
Papers
268
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Observer-based robust control for flexible-joint robot manipulators: A state-dependent Riccati equation-based approach
31 citations · 2020
📈 Most Prolific Year: 2015 (7 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Qazvin Islamic Azad University, Islamic Azad University, Tehran

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago