Mohammad Mehdi Arefi

Shiraz University

Papers

13

Total Citations

301

H-Index

9

About

Mohammad Mehdi Arefi is a prominent control systems researcher whose work spans fractional-order systems, multi-agent systems, robust nonlinear control, and intelligent robotics. His research is distinguished by a consistent focus on developing advanced control strategies that address real-world challenges such as actuator nonlinearities, input saturation, stochastic disturbances, and model uncertainties. Arefi's most influential contribution, "Adaptive Neural Output-Feedback Control for Nonstrict-Feedback Time-Delay Fractional-Order Systems" (2018), has garnered 85 citations, reflecting the field's recognition of his innovative integration of neural networks with fractional-order dynamics. His work on distributed finite-time consensus control for stochastic nonlinear multi-agent systems (54 citations) further demonstrates his expertise in cooperative control under complex, uncertain environments. A recurring theme across his portfolio is finite-time control — ensuring systems reach desired states within guaranteed time bounds — applied to robotic manipulators, exoskeletons, spherical robots, and interconnected nonlinear systems. His fault-tolerant control frameworks using sliding mode observers (35 citations) highlight his contributions to safety-critical system design. With over 290 cumulative citations, Arefi's body of work offers students and researchers a rigorous yet practically motivated foundation in modern robust and intelligent control theory.

Research Focus

Key Achievements

9
H-Index
13
Papers
301
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities
85 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Shiraz University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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