Tanmay Rajpurohit
Papers
1
Total Citations
4
H-Index
1
About
Tanmay Rajpurohit’s research lies at the intersection of distributed control systems, network consensus, and stochastic communication theory. His most-cited work, “A Conservation-Based Distributed Control Architecture for Network Consensus with Stochastic Communication Uncertainty” (2018), introduces a novel framework that leverages conservation principles to maintain stability and coordination in multi-agent networks despite unpredictable communication disruptions. This contribution is particularly significant for applications in autonomous vehicle platooning, robotic swarms, and smart grid management, where reliable distributed decision-making is critical. With 4 citations, the paper has informed subsequent studies on resilient control under uncertainty. Rajpurohit’s approach addresses a fundamental challenge in modern networked systems: how to ensure consensus when agents face probabilistic data loss or delays. His work bridges theoretical control theory with practical implementation, offering scalable solutions for real-world networks. By tackling stochastic uncertainty through a conservation-based lens, he has opened new pathways for robust, decentralized coordination—a vital step toward safer and more efficient autonomous systems.
Research Focus
Key Achievements
Top Papers
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