Abbas Erfanian

Iran University of Science and Technology, University of Applied Science and Technology

Papers

Total Citations

277

H-Index

About

Abbas Erfanian is a leading figure in nonlinear control theory, with his research centered on adaptive and sliding mode control for complex uncertain systems. His most significant contribution is the development of adaptive fuzzy terminal sliding mode control, a powerful framework that addresses the challenges of controlling multi-input multi-output (MIMO) nonlinear systems with unknown dynamics. His seminal 2011 paper, "Adaptive fuzzy terminal sliding mode control for a class of MIMO uncertain nonlinear systems," has garnered 247 citations, establishing it as a foundational reference in the field. This work introduced a robust approach that combines fuzzy logic with terminal sliding mode techniques to achieve finite-time convergence and high precision, even in the presence of uncertainties. Erfanian has continued to refine these methods, as seen in his 2018 paper on finite-time adaptive control and his most recent 2025 work, which presents a fully automated, continuous nonsingular terminal sliding mode control technique. This latest innovation eliminates chattering—a persistent issue in sliding mode control—while handling both structured and unstructured uncertainties, marking a significant step toward practical, real-world applications in robotics, aerospace, and industrial automation.