Reza Mohammadi Asl
University of Tabriz, Lappeenranta-Lahti University of Technology, Tampere University
Papers
13
Total Citations
394
H-Index
11
About
Reza Mohammadi Asl is a control systems engineer whose research sits at the intersection of robust control theory, state estimation, and fault-tolerant systems, with a particular focus on robotic manipulators and hydraulic actuators. His most celebrated contribution — a 2017 paper on adaptive non-singular terminal sliding mode control, now with 83 citations — established him as a key voice in designing controllers that deliver finite-time convergence while remaining robust against uncertainty and disturbance. Complementing this thread, his work on integral and synergetic extensions of terminal sliding mode control deepened the theoretical toolkit available to nonlinear systems researchers. Mohammadi Asl has made equally significant strides in state estimation, developing adaptive variants of the Unscented and Extended Kalman Filters — enhanced through fuzzy logic and metaheuristic optimization — and validating these experimentally on hydraulic actuator platforms, earning over 50 citations for his 2019 adaptive square-root formulation. His 2021 work on active fault-tolerant control for robotic manipulators, already attracting 51 citations, elegantly unifies robust sliding mode control with adaptive fault estimation to sustain system stability under actuator failures. Across more than ten influential publications, his research bridges rigorous mathematical design with real-world implementation, making his work essential reading for engineers tackling reliability challenges in modern mechatronic systems.
Research Focus
Key Achievements
Top Papers
- 1Robust control by adaptive Non-singular Terminal Sliding Mode83 citations · 2017
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- 9Combined PID and LQR controller using optimized fuzzy rules21 citations · 2018
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