Woorod A. Shutnan
Papers
2
Total Citations
23
H-Index
2
About
Woorod A. Shutnan is a researcher specializing in advanced control systems, particularly for robotic applications. Her work focuses on integrating artificial immune system algorithms with fractional order PID control to enhance the precision and robustness of robot manipulator path tracking. Her most cited paper, "Artificial immune system based optimal fractional order PID control scheme for path tracking of robot manipulator" (2018, 19 citations), introduces a clonal selection algorithm to optimize controller parameters, demonstrating significant improvements over conventional PID methods. In a related study, "Optimal Fuzzy-Immune Fractional PID Control Scheme for Path Tracking of Robot manipulator" (2018, 4 citations), she extends this approach by combining immune feedback, fuzzy logic, and fractional order control, optimized through clonal selection. These contributions highlight her innovative use of bio-inspired computing to solve complex control challenges, offering efficient solutions for robotic systems. Shutnan’s work is valuable for researchers in robotics, control engineering, and computational intelligence, showcasing how hybrid control strategies can achieve superior performance in dynamic environments.
Research Focus
Key Achievements
Top Papers
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