Megat Syahirul Amin Megat Ali
Papers
3
Total Citations
61
H-Index
2
About
Dr. Megat Syahirul Amin Megat Ali is a prominent researcher in the fields of robotics, control systems, and nonlinear system identification. His most impactful contribution is the development of a Binary Particle Swarm Optimization (BPSO) method for structure selection in Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) models, applied to a flexible robot arm—a work that has garnered 57 citations and remains a key reference in nonlinear modeling. Dr. Megat Ali has also advanced practical robotics, notably designing a forward and optimized inverse kinematics solution using the Levenberg-Marquardt algorithm for a 6-DOF robot manipulator in sorting applications, addressing real-time vision integration challenges. His earlier work includes the conceptual development of a sunbathe laundry robot, demonstrating his versatility in applying embedded systems and sensor technology. With a career spanning from foundational nonlinear modeling to cutting-edge robotic manipulation, Dr. Megat Ali’s research bridges theoretical rigor and industrial application, making significant strides in intelligent automation and control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Design and conceptual development of a sunbathe laundry robot2 citations · 2012