Ahmad Ihsan Mohd Yassin
Papers
3
Total Citations
62
H-Index
2
About
Ahmad Ihsan Mohd Yassin is a control engineer and system identification specialist whose work bridges theoretical modeling and practical robotics. His primary research areas include nonlinear system identification, swarm intelligence optimization, and mobile robot control. Yassin’s most significant contribution lies in applying Binary Particle Swarm Optimization (BPSO) to structure selection for Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) models—a powerful framework for representing complex nonlinear dynamics. His 2016 paper on this topic, which has garnered 57 citations, demonstrates how BPSO can simultaneously perform structure selection and parameter estimation, streamlining the construction of accurate models for systems like flexible robot arms. This work offers a computationally efficient alternative to traditional methods, making nonlinear system identification more accessible for control design. Beyond theoretical contributions, Yassin has also engaged in applied robotics, as shown in his 2022 work on differential drive wheeled mobile robots, where he integrated MPU9250 sensors and optical encoders for practical self-driving algorithms. His research is particularly valuable for students and engineers seeking to implement intelligent control systems, as it provides both foundational algorithms and real-world validation.
Research Focus
Key Achievements
Top Papers
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