Mansour Bazregar
Papers
4
Total Citations
120
H-Index
4
About
Mansour Bazregar is a control systems researcher whose work sits at the intersection of robotics, fuzzy logic, and nonlinear control theory, with a particular focus on developing robust controllers for uncertain and complex dynamic systems. His most influential contribution, "Design Robust Fuzzy Sliding Mode Control Technique for Robot Manipulator Systems with Modeling Uncertainties" (2013, 51 citations), established a sophisticated framework for addressing kinematic and dynamic model uncertainties in robot manipulators — a persistent challenge in real-world robotics applications. Building on this foundation, Bazregar explored soft computing optimization strategies for highly nonlinear systems, as demonstrated in his parallel soft computing work (36 citations), which advanced robust feedback control design methodologies. A recurring theme throughout his research is the elimination of chattering — an undesirable oscillatory phenomenon in sliding mode control — reflected in his work on continuum robot manipulators (24 citations), where he proposed adaptive fuzzy modifications to achieve smoother, higher-performance control. His research on modified fuzzy PD gravity controllers further extended these principles to continuum robotics. Collectively, Bazregar's contributions have meaningfully advanced intelligent control techniques for uncertain robotic systems, earning him over 120 citations and making his work a valuable reference for researchers in applied robotics and control engineering.
Research Focus
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