Soura Dasgupta

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About

Soura Dasgupta is a leading figure in adaptive control, signal processing, and networked control systems, with a career spanning foundational theory to practical robotics. His most-cited work, "Adaptive range‐measurement‐based target pursuit" (2012, 66 citations), exemplifies his ability to bridge rigorous control theory with real-world applications. In this paper, Dasgupta introduces an innovative adaptive framework that unifies target localization from noisy distance measurements with motion control for mobile agents, treating the pursuit problem as a parameter-identifier-based adaptive control task. This approach not only advances autonomous navigation but also demonstrates his broader impact: his research has garnered over 5,000 total citations, reflecting decades of influence in areas like robust adaptive control, distributed estimation, and cyber-physical systems. A Fellow of the IEEE and a recipient of the prestigious NSF Presidential Young Investigator Award, Dasgupta is known for his work on stability of adaptive systems and fault-tolerant control. His contributions have shaped how engineers design systems that learn and adapt in real time, from robotic swarms to smart grids, making him a pivotal figure for students and researchers exploring the intersection of control theory and intelligent autonomy.