T Ananthan

Papers

Total Citations

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About

T Ananthan is a control systems researcher whose work centers on the modeling and stabilization of nonlinear dynamical systems, with a particular focus on underactuated mechanical platforms. His most-cited paper, "Model Predictive Control for rotary inverted pendulum using LabVIEW" (2019), addresses the persistent challenge of real-time control for inherently unstable systems. In this work, Ananthan develops a Model Predictive Control (MPC) framework implemented in LabVIEW, tackling both mathematical modeling and parameter estimation for the rotary inverted pendulum—a classic benchmark in control theory. This research has direct implications for robotics, aerospace, and personal mobility devices like the Segway, where robust disturbance rejection is critical. Ananthan’s contributions bridge theoretical control design with practical, software-based implementation, offering a replicable methodology for researchers and engineers. While his citation count (3) reflects an emerging career, his work is foundational for those exploring advanced control strategies in nonlinear, real-time environments. His focus on accessible platforms like LabVIEW underscores a commitment to applied research, making his findings valuable for students and practitioners seeking to implement MPC in experimental setups.