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About

Deepika’s research lies at the intersection of advanced control theory and robotics, with a particular focus on fractional-order systems and nonholonomic dynamics. Her major contributions center on developing novel sliding mode control strategies for complex, underactuated systems. In her most cited work (2018, 16 citations), she introduced a fractional-order uncertainty estimator-based hierarchical sliding mode design for fractional-order nonholonomic chained systems, addressing critical challenges in robustness and precision. She further extended this framework with a finite-time fractional-order sliding mode tracking scheme (2018, 7 citations), enabling faster, more reliable convergence for perturbed systems. Earlier, she demonstrated her versatility by modeling and controlling flexible single-link robotic manipulators (2014, 5 citations), comparing PID, LQR, and state feedback controllers. Deepika’s work is notable for bridging theoretical fractional calculus with practical control engineering, offering elegant solutions to systems plagued by uncertainty and nonlinearity. Her hierarchical sliding mode designs have been particularly influential, providing a systematic methodology for stabilizing and tracking in nonholonomic systems—a class notoriously difficult to control. For students and researchers, Deepika’s research exemplifies how rigorous mathematical frameworks can yield tangible advances in robotic manipulation and autonomous systems.