Gautam Sarkar
Papers
1
Total Citations
16
H-Index
1
About
Gautam Sarkar is a control systems researcher whose work focuses on intelligent adaptive control for complex robotic systems, particularly those grappling with time-varying uncertainties, disturbances, and nonlinearities. His key research areas include fuzzy logic control, parallel distributed compensation (PDC), and robust adaptive control for multi-input multi-output (MIMO) systems. Sarkar’s most cited work, a 2019 paper on a linear consequence-based fuzzy PDC-type L₁ adaptive controller for a two-link robot manipulator, has earned 16 citations. In this study, he introduced a novel control scheme that effectively handles the cross-coupled dynamics and real-time uncertainties inherent in robotic arms, demonstrating a significant advancement over conventional methods. His contributions are particularly valuable for the development of more reliable and precise robotic manipulators used in industrial automation and advanced manufacturing. Sarkar’s research bridges theoretical control design with practical implementation, offering solutions that improve system stability and performance under challenging conditions. His work continues to inspire further exploration into adaptive fuzzy control strategies for nonlinear MIMO systems.
Research Focus
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Top Papers
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