Nadia Bounouara

University of Batna 1, University of Batna 2

Papers

Total Citations

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About

Nadia Bounouara is a researcher specializing in advanced control systems for robotic manipulators, with a focus on intelligent and optimized techniques. Her work bridges classical control theory with modern computational intelligence, addressing the challenge of achieving precise and robust motion in nonlinear robotic systems. Her most cited paper, "Metaheuristic Optimization of PD and PID Controllers for Robotic Manipulators" (2021, 3 citations), introduces a novel approach that combines Particle Swarm Optimization (PSO) with Proportional-Derivative and Proportional-Integral-Derivative controllers, enabling automated tuning of critical gain parameters for enhanced performance. In her earlier influential work, "Fuzzy switch-gain sliding mode control for robotic manipulators based on an extended Kalman filter" (2016, 3 citations), she developed an intelligent controller that uses a fuzzy logic system to dynamically adjust the switch-gain of sliding mode control, improving robustness against uncertainties. Her most recent contribution, "Optimization of a high gain observer for feedback linearization control" (2024, 1 citation), proposes a continuous-discrete time observer with an optimized high gain for sampled-output systems, minimizing a cost function to improve observer accuracy. Bounouara’s research demonstrates a consistent commitment to integrating optimization algorithms and fuzzy logic into control design, offering practical solutions for high-performance robotic manipulation.