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About

Reihaneh Kardehi Moghaddam is a leading researcher in advanced control systems, with a primary focus on sliding mode control, fuzzy logic systems, and neural network-based adaptive control. Her work has significantly advanced the field of robotic manipulation, particularly for cable-driven parallel robots and upper-limb exoskeletons. Her most impactful contribution, an adaptive interval type-2 fuzzy neural network nonsingular fast terminal sliding mode control for cable-driven parallel robots (2024, 25 citations), demonstrates a novel integration of intelligent systems and robust control to achieve high-precision tracking under uncertainty. Earlier, her work on fuzzy sliding mode control for a 5 DOF upper-limb exoskeleton (2015, 13 citations) established foundational methods for safe and accurate human-robot interaction in rehabilitation. Beyond robotics, she has explored innovative biomedical applications, including a single-input fuzzy controller for autonomous drug-encapsulated nanoparticles to target cancer growth (2015, 3 citations). She is also the author of a comprehensive guide, *Methods of Developing Sliding Mode Controllers* (2024), which serves as a practical resource for researchers and students seeking to implement these controllers in MATLAB and Simulink. Her work is characterized by a rigorous theoretical foundation and a clear path to real-world implementation.