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About

Fouad M. AL‐Sunni is a control systems researcher whose work centers on the development of advanced control strategies for complex, multivariable nonlinear systems. His primary research areas include U-model-based control, learning feedforward control, and internal model control (IMC), with a strong emphasis on real-time robotic applications. AL‐Sunni's major contribution lies in pioneering the use of the U-model—a polynomial-based framework that simplifies the synthesis of control laws for nonlinear plants—enabling more tractable design and implementation of controllers for multi-input multi-output (MIMO) systems. His most cited work, "U-model based learning feedforward control of MIMO nonlinear systems" (25 citations), demonstrates a novel approach to improving tracking performance over finite time intervals. He also made significant strides in real-time control, as evidenced by his 2008 paper (11 citations), which implemented MIMO U-model-based IMC on a 2-degree-of-freedom robot arm while addressing stability and convergence via the small gain theorem. Further notable achievements include a 2011 study on 2DoF multivariable IMC for improved input-disturbance rejection, and a 2013 foray into time-energy optimal control of mobile robots using direct numerical methods. Collectively, AL‐Sunni’s work provides a robust theoretical and practical foundation for controlling unknown nonlinear systems, with direct applications in robotics and automation.