Papers
1
Total Citations
2
H-Index
1
About
Arnab Pal is a control systems researcher whose work focuses on the stabilization and optimal control of dynamic mechanical systems. His most recognized contribution examines the classical cart-pole problem — a benchmark challenge in control engineering — through a comparative lens, evaluating the performance of two sophisticated control strategies: Linear Quadratic Gaussian (LQG) control and Robust H-infinity control design. Published in 2021, this work provides valuable insight into how these advanced methodologies fare against each other when applied to inherently unstable systems, offering practical guidance for engineers and researchers selecting control architectures for real-world applications. By rigorously analyzing the trade-offs between optimal estimation-based control and robust uncertainty-handling approaches, Pal's research bridges theoretical control theory with applied engineering practice. While still in the early stages of accumulating citations, his work has begun attracting attention within the control systems community, reflecting its relevance to ongoing discussions in robotics, autonomous systems, and mechatronics. His contributions serve as a useful reference point for students and practitioners navigating the complexities of modern control system design.
Research Focus
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Top Papers
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