Ehsan Rouhani

Iran University of Science and Technology

Papers

Total Citations

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About

Ehsan Rouhani is a leading researcher in advanced control systems, specializing in nonlinear dynamics, adaptive fuzzy control, and sliding mode techniques. His work addresses critical challenges in stabilizing uncertain nonlinear systems, particularly through finite-time convergence methods that enhance robustness and precision. Rouhani’s most-cited paper, "A Finite-time Adaptive Fuzzy Terminal Sliding Mode Control for Uncertain Nonlinear Systems" (2018, 28 citations), introduces a novel framework that integrates fuzzy logic with terminal sliding mode control to achieve rapid, chattering-free stabilization under model uncertainties. This contribution has practical implications for robotics, aerospace, and industrial automation, where real-time performance and safety are paramount. By bridging theoretical rigor with application-ready solutions, Rouhani’s research has influenced subsequent work in adaptive control and intelligent systems. His work is recognized for pushing the boundaries of finite-time control theory, offering engineers and researchers a robust toolkit for managing complex, uncertain environments. With a growing citation impact, Rouhani continues to shape the field of nonlinear control, inspiring new approaches to high-performance system design.