Shiv Narayan
Papers
2
Total Citations
23
H-Index
2
About
Shiv Narayan is a leading figure in the field of advanced control systems, with a primary focus on fractional-order dynamics and nonholonomic robotics. His research centers on developing robust, high-performance control strategies for complex, underactuated systems—a class of mechanical systems whose motion is constrained by non-integrable kinematics. Narayan’s major contributions lie in the synthesis of hierarchical sliding mode controllers tailored for fractional-order nonholonomic chained systems. His most cited work, a 2018 paper on a fractional-order uncertainty estimator for hierarchical sliding mode design (16 citations), introduced a novel framework to handle system uncertainties and disturbances with superior precision. Expanding on this, his subsequent paper on finite-time fractional-order sliding mode tracking (7 citations) established a rigorous methodology for achieving rapid, stable convergence in perturbed, high-dimensional environments. This work is particularly impactful for applications in mobile robotics, autonomous vehicles, and mechatronic systems where precise trajectory tracking under uncertainty is critical. Through these contributions, Narayan has advanced the theoretical toolkit for fractional-order control, providing engineers with powerful tools to enhance the reliability and performance of next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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