Reza Rahmani

National Yunlin University of Science and Technology, Shenyang University of Technology, University of Zanjan

Papers

Total Citations

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About

Reza Rahmani is a control systems researcher whose work centers on the intelligent control of complex robotic systems, with a particular focus on parallel and cable-driven robots, as well as multi-agent coordination. His major contributions lie in the fusion of sliding mode control (SMC) with adaptive fuzzy logic and neural optimization techniques to overcome the inherent challenges of parametric uncertainty, nonlinear dynamics, and constrained environments. In his most cited work (41 citations), Rahmani developed an optimized fuzzy-enhanced robust control design for a Stewart parallel robot, leveraging SMC’s inherent robustness while intelligently compensating for system uncertainties. He further advanced the field by designing an adaptive fuzzy controller for cable-driven parallel robots (26 citations), addressing the unique complexities of cable-tension constraints and workspace analysis. His research on consensus tracking for multi-agent systems (11 citations) introduced a novel neural-optimiser-based sliding mode controller, enabling robust coordination under communication constraints. Rahmani’s work is notable for its practical, implementation-focused approach, bridging theoretical control advances with real-world robotic applications. His research continues to influence the development of more resilient and adaptive autonomous systems.