Papers
13
Total Citations
167
H-Index
7
About
Najib Essounbouli is a control systems researcher whose work sits at the intersection of fuzzy logic, sliding mode control, and robust adaptive systems for nonlinear and uncertain environments. Over the course of his career, he has made significant contributions to the design of intelligent controllers capable of handling model uncertainties, external disturbances, and incomplete state measurements — challenges that are central to real-world control engineering. His most influential work, "Type-2 fuzzy sliding mode control without reaching phase for nonlinear system" (2010, 48 citations), introduced a novel approach eliminating the vulnerability of the reaching phase in sliding mode design, a meaningful advancement in control robustness. Essounbouli has been a consistent advocate for Type-2 Takagi-Sugeno fuzzy modeling as a foundation for high-order sliding mode controllers and observers, particularly in multi-input multi-output (MIMO) systems, with repeated application to robotic manipulators operating under position-only measurements. His 2019 contributions on adaptive super-twisting and high-order sliding mode observer frameworks further demonstrate his commitment to practical, implementable solutions for complex systems. With research spanning over 15 years and accumulating more than 160 citations, Essounbouli's body of work offers valuable theoretical and applied tools for engineers tackling nonlinear, uncertain control problems.
Research Focus
Key Achievements
Top Papers
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- 5MIMO second order sliding mode fuzzy type-2 control15 citations · 2010
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- 8MIMO sliding fuzzy type-2 control with manipulating approaching phase6 citations · 2013
- 9Robust smooth sliding type-2 interval fuzzy control for uncertain system6 citations · 2010
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