Nizar Hadi Abbas
Papers
9
Total Citations
178
H-Index
8
About
Nizar Hadi Abbas is a leading researcher in robotics and control systems, specializing in intelligent control strategies for autonomous underwater vehicles (AUVs) and mobile robots. His work focuses on developing adaptive, bio-inspired, and fractional-order controllers to address critical challenges in disturbance rejection, trajectory tracking, and path planning in uncertain environments. His most influential paper, "Disturbance Rejection for Underwater robotic vehicle based on adaptive fuzzy with nonlinear PID controller" (2022), has garnered 60 citations, showcasing its impact on robust AUV control. Abbas has pioneered the integration of neural networks, fuzzy logic, and optimization algorithms—such as the Enhanced Bacterial Foraging Optimization Algorithm and Adaptive Multi-Objective Particle Swarm Optimization—to enhance robot autonomy and stability. His notable contributions include designing fractional-order state feedback controllers for differential drive robots and adaptive nonlinear PID controllers for 6-DOF underwater vehicles, addressing real-world obstacles and sensor noise. With over 160 total citations, Abbas’s work is essential reading for researchers in marine robotics and intelligent control, offering practical solutions for autonomous navigation in dynamic and disturbed environments.
Research Focus
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- 9An Adaptive Nonlinear PID Design for 6-DOF Underwater Robotic Vehicle8 citations · 2022