Sadeque Hamdan
Papers
1
Total Citations
5
H-Index
1
About
Sadeque Hamdan is a robotics and control systems researcher whose work focuses on advancing the precision and efficiency of robotic manipulators through intelligent control strategies. His key research areas include sliding mode control (SMC), optimization algorithms, and robot dynamics. Hamdan’s most notable contribution is his 2022 paper, “Modified Power Rate Sliding Mode Control for Robot Manipulator Based on Particle Swarm Optimization,” which has garnered 5 citations. In this work, he proposes an enhanced power rate sliding mode control (PRSMC) designed to improve the reaching phase of SMC for a 4-degree-of-freedom (DOF) manipulator, operating in both joint space and workspace. By integrating particle swarm optimization (PSO) to tune the controller parameters, Hamdan achieves superior tracking performance and reduced chattering—a common challenge in traditional SMC. This approach demonstrates a practical synergy between optimization and robust control, offering a scalable solution for real-time robotic applications. Hamdan’s work is particularly relevant for students and researchers exploring advanced nonlinear control methods, as it bridges theoretical development with simulation-based validation. His contributions highlight the growing importance of bio-inspired optimization in refining classical control techniques for modern robotics.
Research Focus
Key Achievements
Top Papers
- 1