Farzan Soleymani
Papers
4
Total Citations
25
H-Index
4
About
Farzan Soleymani’s research centers on advanced control systems for servo-pneumatic actuators and multi-agent robotic networks, with a particular focus on overcoming real-world uncertainties. His most impactful work tackles the challenge of mismatched uncertainties—disturbances that cannot be directly canceled by control inputs—in pneumatic positioning systems. Soleymani pioneered the use of multiple-surface sliding mode controllers (MSSC) combined with high-gain observers to achieve precise position control despite friction-induced mismatched uncertainties, a critical advancement for applications in industrial automation, non-invasive surgery, and rehabilitation robotics. His 2016 paper on this approach has accumulated 12 citations, establishing a foundation for robust pneumatic actuator control. He further refined these techniques by incorporating the generalized Maxwell-Slip friction model to capture complex nonlinear friction dynamics. In a notable departure from his core work, Soleymani also contributed to multi-agent systems, developing a non-autonomous state-feedback control scheme for time-varying area coverage problems—enabling groups of robots to adapt their formation as environmental risk densities evolve. This work demonstrates his versatility in bridging theoretical control design with practical robotic applications.
Research Focus
Key Achievements
Top Papers
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