M. Noh Ahmad
Papers
2
Total Citations
5
H-Index
2
About
M. Noh Ahmad is a control systems researcher whose work focuses on the challenging intersection of nonlinear dynamics, robotics, and intelligent control. His primary research areas include sliding mode control, decentralized control architectures, and the stabilization of inherently unstable robotic systems. Ahmad’s most notable contribution is a decentralized proportional-integral sliding mode tracking controller for robot manipulators, which addresses the critical problem of robust trajectory tracking in complex, multi-degree-of-freedom systems without requiring full system information. This foundational work has garnered 3 citations and remains relevant to researchers tackling decentralized control challenges. More recently, Ahmad has applied intelligent control strategies to the notoriously difficult problem of velocity tracking in two-wheeled inverted pendulum (TWIP) mobile robots—a class of open-loop unstable, highly nonlinear platforms. His 2016 paper on this topic (2 citations) demonstrates how advanced controllers can overcome the natural pitch instability of these robots to achieve precise velocity regulation. Ahmad’s research bridges theoretical control design with practical robotic applications, offering valuable insights for engineers working on autonomous mobile robots, manipulators, and other nonlinear mechatronic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2