Antoine Dequidt

About

Antoine Dequidt is a robotics and control systems researcher whose work sits at the intersection of nonlinear control theory and robotic manipulation. His research spans parallel and serial robot dynamics, fuzzy descriptor modeling, and motion planning, with a particular focus on developing mathematically rigorous yet practically applicable control frameworks for complex robotic systems. Dequidt's most influential contribution, "Motion Control of Planar Parallel Robot Using the Fuzzy Descriptor System Approach" (2012), has accumulated 59 citations and established fuzzy descriptor frameworks as a powerful tool for handling the inherent nonlinearities in parallel robot control. Building on this foundation, he extended the methodology to serial manipulators, collision avoidance strategies, and self-balancing mobile platforms, demonstrating the broad applicability of his theoretical innovations across diverse robotic architectures. His work on Gough–Stewart platform dynamics and optimal trajectory planning for parallel robots reflects a commitment to bridging rigorous kinematic modeling with real-world control constraints. More recently, Dequidt has pursued reduced-complexity Takagi-Sugeno fuzzy representations and disturbance-observer-based control, addressing critical challenges in computational efficiency and robustness under uncertainty. Collectively, his body of work offers students and researchers a coherent progression of ideas that advance reliable, intelligent control for next-generation robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Motion control of planar parallel robot using the fuzzy descriptor system approach

   59 citations · 2012
2. 2
   Nonlinear Tracking Control with Reduced Complexity of Serial Robots: A Robust Fuzzy Descriptor Approach

   20 citations · 2019
3. 3
   Fuzzy descriptor tracking control with guaranteed L∞ error-bound for robot manipulators

   8 citations · 2020
4. 4
   Revisiting the inverse dynamics of the Gough–Stewart platform manipulator with special emphasis on universal–prismatic–spherical leg and internal singularity

   8 citations · 2012
5. 5
   Using the redundant inverse kinematics system for collision avoidance

   8 citations · 2010
6. 6
   Robust control of two-wheeled self-balanced transporter on sloping ground: A Takagi-Sugeno descriptor approach

   6 citations · 2013
7. 7
   Optimal motions planning for a GOUGH parallel robot

   5 citations · 2008
8. 8
   Reduced-Complexity Affine Representation for Takagi-Sugeno Fuzzy Systems

   4 citations · 2020
9. 9
   Disturbance-Observer Based Tracking Control of Industrial SCARA Robot Manipulators

   4 citations · 2019
10. 10
    A Robust Descriptor Approach for Nonlinear Tracking Control of Serial Robots

    3 citations · 2018

Key Collaborators

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