Navid Noroozi

Shiraz University, Islamic Azad University, Isfahan

Papers

Total Citations

H-Index

About

Navid Noroozi is a control systems researcher whose work focuses on the modeling and control of complex nonlinear systems, particularly those exhibiting hysteresis and time delays. His major contributions lie in the development of novel fuzzy wavelet networks for adaptive control, offering robust solutions for output feedback in challenging, multi-input multi-output (MIMO) environments. His 2011 paper on "Modeling and control of nonlinear systems using novel fuzzy wavelet networks: The output adaptive control approach" (16 citations) introduced an innovative framework that combines fuzzy logic with wavelet theory to handle system uncertainties. Complementing this, his work on "Output feedback controller for hysteretic time-delayed MIMO nonlinear systems" (15 citations) addresses critical challenges in systems with memory effects and communication lags. While his citation counts reflect focused, early-career impact, these contributions are notable for their theoretical depth and practical relevance to advanced robotics, smart structures, and precision manufacturing. Noroozi’s research provides essential tools for engineers tackling real-world nonlinearities, making his work a valuable reference for students and researchers in adaptive and intelligent control.