Subhash Chand Yogi

About

Subhash Chand Yogi is a control systems researcher whose work focuses on advanced nonlinear control strategies for autonomous mobile robots and quadrotors. His primary research areas include sliding mode control, event-triggered control, fractional order control, and disturbance rejection techniques for underactuated robotic systems. His most impactful contribution is a vision-augmented 3 DoF quadrotor control system that integrates visual servoing directly into the robot controller, drastically reducing onboard computational load — a paper that has earned 12 citations. Yogi has also made significant advances in path tracking for non-holonomic mobile robots, developing event-triggered controllers that handle time- and state-dependent uncertainties (4 citations), and proposing novel fractional order controllers for kinematic and dynamic tracking (2 citations). His work on disturbance rejection using supertwisting control and singularity-free stabilizing controllers further demonstrates his expertise in robust control design. Across his most-cited papers published in 2021, Yogi has accumulated over 20 citations, establishing himself as a rising contributor to the fields of mobile robotics, nonlinear control, and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Vision Augmented 3 DoF Quadrotor Control using a Non-singular Fast-terminal Sliding Mode Modified Super-twisting Controller

   12 citations · 2021
2. 2
   Path Tracking of Non-holonomic Mobile Robot Using Event-triggered Control in Presence of Time and State-Dependent Uncertainties

   4 citations · 2021
3. 3
   Kinematic and Dynamic Tracking of Mobile robot Using Fractional Order Control

   2 citations · 2021
4. 4
   Disturbance Rejection Based Control Strategies for Mobile Robot

   2 citations · 2021
5. 5
   Singularity Free Stabilizing Controller for Non-Holonomic Mobile Robot Using Novel Sliding Manifold

   1 citations · 2021

Key Collaborators

Contact & Links