Badrinath Viswanathan
Papers
2
Total Citations
73
H-Index
2
About
Badrinath Viswanathan is a control systems researcher whose work bridges robust control and learning-based methods for nonlinear dynamical systems. His primary research areas include robust learning control, iterative and direct learning control, and nonlinear system regulation, with a particular focus on robotic manipulators. Viswanathan’s most influential contribution is the development of a robust learning control (RLC) scheme that synthesizes learning control with robust control techniques, enabling robotic manipulators to handle structured system uncertainties effectively. This work, published in 2000, has garnered 59 citations and remains a foundational reference for researchers tackling non-repeatable trajectory tracking problems. He further advanced the field with his work on recursive direct learning control (DLC), which learns unknown basis function vectors to generate desired control profiles for trajectories with varying magnitude scales—a significant departure from conventional iterative learning schemes. Though his citation counts are modest, Viswanathan’s contributions are notable for their theoretical rigor and practical applicability in robotics and nonlinear systems. His research continues to influence modern approaches to adaptive and learning-based control, particularly in contexts where system uncertainties are structured but unknown.
Research Focus
Key Achievements
Top Papers
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