Muhammad Shafiq

About

Muhammad Shafiq is a control systems researcher whose work centers on nonlinear system control, robotics, and intelligent automation. His primary contributions lie in the development of U-model-based control strategies for multivariable nonlinear systems, a framework that simplifies the synthesis of control laws for complex dynamic plants. Shafiq’s most influential paper, "U-model based learning feedforward control of MIMO nonlinear systems" (25 citations), establishes a foundational approach for tracking control in nonlinear systems. He has further advanced this work through real-time implementations on 2-degree-of-freedom robot arms, demonstrating practical viability in papers such as "MIMO U-model based control: real-time tracking control and feedback analysis via small gain theorem" (11 citations). His research also addresses trajectory tracking for nonholonomic wheeled mobile robots using hybrid fuzzy-logic controllers (17 citations), and extends to vibration control of flexible robotic arms and energy-efficient drone design. With over 100 total citations across his publications, Shafiq’s work bridges theoretical control design and real-world robotic applications, offering accessible yet robust solutions for nonlinear system tracking and disturbance rejection.

Research Focus

Key Achievements

Top Papers

1. 1
   U-model based learning feedforward control of MIMO nonlinear systems

   25 citations · 2010
2. 2
   Trajectory Tracking of a Nonholonomic Wheeleed Mobile Robot Using Hybrid Controller

   17 citations · 2016
3. 3
   MIMO U-model based control: real-time tracking control and feedback analysis via small gain theorem

   11 citations · 2008
4. 4
   An Adaptive Root-Solving Controller for Tracking of Nonlinear Dynamic Plants

   8 citations · 2006
5. 5
   U-Model Based 2DoF Multi-Variable IMC for Improved Input-Disturbance Rejection: A Case Study on a 2-Link Robot Manipulator

   7 citations · 2011
6. 6
   Learning feedforward control of MIMO nonlinear systems using U-model

   7 citations · 2007
7. 7
   An Energy-Efficient and Safe Landing Multirotor Design for Drones

   4 citations · 2024
8. 8
   Vibration control of flexible robotic arms using robust model matching control

   4 citations · 2002
9. 9
   U-model Based Adaptive Internal Model Control of Unknown MIMO Nonlinear Systems: A Case study on 2-Link Robotic Arm

   4 citations · 2007
10. 10
    Lyapunov Function Based Neural Networks for Adaptive Tracking of Robotic Arm

    3 citations · 2015

Key Collaborators

Contact & Links