Abdurohman Abdurohman
Papers
1
Total Citations
7
H-Index
1
About
Dr. Abdurohman Abdurohman is a researcher in control systems and optimization algorithms, with a particular focus on enhancing the performance of Proportional-Integral-Derivative (PID) controllers. His most cited work, "The Role of Block Particles Swarm Optimization to Enhance The PID-WFR Algorithm" (2022, 7 citations), addresses a critical limitation in conventional PID tuning: the time-consuming and often suboptimal empirical adjustment of parameters. By integrating Block Particle Swarm Optimization (BPSO), Dr. Abdurohman proposes a more efficient, automated method for optimizing PID-WFR (Weighted Fuzzy Reasoning) algorithms, reducing the need for extensive trial-and-error testing. This contribution is significant for applications requiring precise and adaptive control, such as robotics and industrial automation. Though his citation count is modest, his work represents a practical step toward smarter, self-tuning control systems. Dr. Abdurohman’s research bridges the gap between classical control theory and modern computational intelligence, offering a pathway to more robust and efficient real-world implementations.
Research Focus
Key Achievements
Top Papers
- 1