Master’s Thesis Defense: Inverse-Based Controller Design

On Thursday, January 12, 2017, Ahmed Shaker Abdullah defended his master’s thesis, Design of an Inverse-Based Controller for Digital Signal Processing Applications, at 9:00 AM in the Dijla Hall.

The examination committee consisted of:

1. Prof. Dr. Saad Talib Hassoun (Chairman)
2. Assoc. Prof. Dr. Ehab Abdulrazzaq Hussein (Member)
3. Assoc. Prof. Dr. Iyad Ibrahim Abbas (Member)
4. Assoc. Prof. Dr. Mithaq Nima Rahima (Supervisor and Member)

Abdullah proposed a neuro-fuzzy inverse control approach using the Adaptive Neuro-Fuzzy Inference System (ANFIS) to design a straightforward controller for nonlinear systems. His work demonstrated the system’s ability to generate effective control signals based on inverse modeling. The thesis was accepted with minor revisions, and Abdullah was awarded a “Very Good” grade.