Jagat Jyoti Rath

Kyungpook National University, Institute of Infrastructure Technology Research and Management

Papers

Total Citations

H-Index

About

Jagat Jyoti Rath is a researcher whose work sits at the intersection of advanced control theory and practical robotics. His primary research areas include fault estimation and diagnosis for nonlinear systems, adaptive control, and the integration of robotic platforms for real-time applications. Rath’s most significant contribution is his pioneering work on adaptive sensor and actuator fault estimation for uncertain Lipschitz nonlinear systems. In his highly cited 2015 paper (58 citations), he developed a novel adaptive descriptor sliding mode observer that jointly estimates system states and reconstructs faults, offering a robust solution for safety-critical systems. This foundational work has been influential in the field of fault-tolerant control. Beyond theoretical control, Rath has applied his expertise to tangible robotic systems, including the design of a Bluetooth-controlled floor cleaning robot and the integration of ROS and Gazebo with the MAVLink protocol for real-time UAV applications. His research demonstrates a rare ability to bridge rigorous nonlinear control theory with hands-on robotics, making his work valuable for both academic researchers and engineers developing autonomous systems.