Mahdi Pourgholi
Papers
9
Total Citations
151
H-Index
7
About
Mahdi Pourgholi is a robotics and control systems researcher whose work spans multi-robot networks, model predictive control, and intelligent control design. His most prominent contributions lie in the domain of networked robotic systems, particularly addressing the critical challenge of maintaining communication connectivity among mobile robot teams. His 2019 paper comparing decentralized local and global connectivity maintenance methods has garnered 52 citations, establishing him as a notable voice in multi-robot network topology preservation. Pourgholi has further advanced the field through decentralized and distributed model predictive control frameworks for nonlinear multi-agent systems, incorporating time-varying obstacle avoidance and fractional-order formation control. His research also extends into intelligent control, where he has developed interval type-2 fuzzy sliding mode controllers and supervisory adaptive fuzzy systems for cable-driven parallel robots, employing metaheuristic optimization to enhance performance. His 2017 work on model reference adaptive control for robot tracking demonstrated early versatility across both theoretical design and practical performance analysis. With a cumulative citation profile reflecting growing interdisciplinary impact, Pourgholi's research offers valuable insights for students working at the intersection of swarm robotics, distributed control, and autonomous systems engineering.
Research Focus
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