Papers
11
Total Citations
115
H-Index
6
About
Abdelaziz Hamzaoui is a control systems researcher whose work sits at the intersection of fuzzy logic, sliding mode control, and robust nonlinear systems theory. Over more than two decades, he has made sustained contributions to the design of intelligent controllers capable of handling model uncertainties, external disturbances, and complex multi-input multi-output (MIMO) dynamics — challenges that are central to real-world engineering applications such as robotics and automation. Hamzaoui's most influential contribution is his development of Type-2 fuzzy sliding mode control frameworks, particularly strategies that eliminate the problematic reaching phase, earning his 2010 paper 48 citations. His broader research program systematically advanced higher-order sliding mode techniques combined with Type-2 fuzzy systems, improving robustness and smoothness of control signals in uncertain nonlinear environments. Earlier work from 2002 and 2004 established his adaptive fuzzy approaches for H∞ tracking problems in robotic systems, demonstrating practical applicability from the outset. His 2019 paper on Nonsingular Fast Terminal Sliding Mode Control further extended this legacy into trajectory tracking for rigid robotic arms. With a cumulative citation record spanning foundational through recent contributions, Hamzaoui represents a consistent and focused voice in robust intelligent control theory.
Research Focus
Key Achievements
Top Papers
- 1
- 2MIMO second order sliding mode fuzzy type-2 control15 citations · 2010
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- 6MIMO sliding fuzzy type-2 control with manipulating approaching phase6 citations · 2013
- 7Robust smooth sliding type-2 interval fuzzy control for uncertain system6 citations · 2010
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