Nasreddine Bouguila

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About

Nasreddine Bouguila is a researcher specializing in advanced control systems, with a particular focus on robust control and observer design for nonlinear and uncertain systems. His work addresses critical challenges in robotics and fault detection, notably through the development of robust fuzzy terminal sliding mode control for upper-limb exoskeletons, a key contribution to assistive robotics. Bouguila has made significant strides in state and fault estimation for nonlinear systems modeled by Takagi-Sugeno (T-S) frameworks, proposing innovative observer designs—including proportional multiple integral observers and unknown input observers—to simultaneously estimate system states, actuator, and sensor faults. His research is widely cited, with multiple papers each garnering 2 citations, reflecting its foundational role in the field. Among his notable achievements is the integration of mathematical transformations to create augmented systems for comprehensive fault diagnosis. Bouguila’s work bridges theoretical control theory and practical applications, offering robust solutions for complex, real-world systems such as robotic manipulators and exoskeletons, making him a valuable contributor to the advancement of intelligent control and fault-tolerant systems.