Papers
2
Total Citations
94
H-Index
2
About
Kiran Kumari is a leading researcher in nonlinear control systems, specializing in robust and adaptive control strategies for complex mechanical systems. Her primary research areas include sliding mode control, event-triggered control, and the control of Euler–Lagrange systems and wheeled mobile robots. Her most influential work, "Event‐triggered sliding mode‐based tracking control for uncertain Euler–Lagrange systems" (2018, 89 citations), introduced a novel event-triggered sliding mode strategy that significantly reduces communication frequency while ensuring robust stability and precise trajectory tracking under uncertainty—a major contribution to resource-efficient control. More recently, in "Adaptive Generalized Super-Twisting Sliding Mode Controller for Wheeled Mobile Robot" (2024), she advanced the field by incorporating an adaptive generalized super-twisting algorithm with a linear correction term, enabling superior reference tracking for mobile robots despite system uncertainties. With her work bridging theoretical rigor and practical implementation, Kumari’s research is highly cited for its impact on autonomous systems and robotics. Her achievements continue to inspire students and researchers working at the intersection of adaptive control, sliding mode theory, and real-world robotic applications.
Research Focus
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