M. F. Nor Shah
Papers
1
Total Citations
3
H-Index
1
About
M. F. Nor Shah is a researcher specializing in control systems optimization and marine robotics, with a particular focus on remotely operated vehicles (ROVs). Their most-cited work, "Multi-objective optimization of remotely operated vehicle control system using surrogate modeling" (2011, 3 citations), introduces a novel approach to optimizing PD controllers for the RRC ROV II, a vehicle developed at Nanyang Technological University’s Robotic Research Centre. By applying surrogate modeling to a multi-objective problem, Nor Shah demonstrates how to efficiently balance competing performance criteria—such as stability, response time, and energy consumption—without relying on computationally expensive simulations. This contribution is significant for advancing the design of robust, cost-effective control systems in underwater robotics, where real-time adaptability is critical. Though their citation count is modest, the work reflects a practical, engineering-focused methodology that bridges theoretical optimization with real-world application. Nor Shah’s research underscores the importance of surrogate techniques in reducing design complexity, offering a valuable framework for students and researchers tackling similar challenges in autonomous vehicle control and marine exploration.
Research Focus
Key Achievements
Top Papers
- 1