Papers

2

Total Citations

39

H-Index

2

About

Arghya Chakravarty is a leading researcher in the field of networked control systems (NCSs), with a specific focus on adaptive control, nonlinear dynamics, and resource-efficient communication. His work addresses a fundamental challenge in modern control theory: how to maintain system stability and performance when physical plants—such as mobile robots—are controlled over bandwidth-limited networks. In his highly cited 2019 paper, Chakravarty introduced an improved event-triggered adaptive control framework for nonlinear uncertain networked systems, a contribution that has garnered 33 citations for its elegant solution to reducing unnecessary data transmission while preserving closed-loop stability. He further demonstrated the practical application of these ideas in a companion study on nonholonomic mobile robots, where he combined adaptive backstepping with event-triggered schemes to handle both parameter uncertainties and limited communications. By bridging theoretical rigor with real-world robotic platforms, Chakravarty’s work has laid important groundwork for the next generation of autonomous, wirelessly coordinated systems. His research continues to influence the design of resilient, communication-aware controllers for cyber-physical systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
39
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Improved event‐triggered adaptive control of non‐linear uncertain networked systems
33 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Indian Institute of Technology Guwahati, Indian Institute of Technology Delhi

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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