Winda Astuti
Papers
1
Total Citations
15
H-Index
1
About
Winda Astuti is a researcher specializing in control systems, optimization algorithms, and intelligent automation. Her work focuses on enhancing the performance of complex mechanical systems through the integration of fuzzy logic control and modern meta-heuristic optimization techniques. In her most-cited paper, "Optimization of fuzzy logic controller parameters using modern meta-heuristic algorithm for gantry crane system (GCS)" (2020), she demonstrates how advanced computational methods can be applied to improve the precision and stability of gantry crane operations—a critical challenge in industrial automation and material handling. This study, with 15 citations, highlights her ability to bridge theoretical optimization with practical engineering applications. Astuti’s contributions are particularly valuable for researchers and engineers working on adaptive control systems, offering a pathway to more efficient and robust automated machinery. Her work underscores the growing importance of intelligent algorithms in solving real-world control problems, making her a notable figure in the field of mechatronics and optimization.
Research Focus
Key Achievements
Top Papers
- 1