Papers
3
Total Citations
36
H-Index
2
About
Rupak Datta is a control systems researcher whose work focuses on the intersection of multi-agent systems, nonlinear dynamics, and fuzzy logic control. His primary research areas include sampled-data consensus, fault-tolerant control, and Takagi–Sugeno (T–S) fuzzy modeling for complex robotic systems. Datta’s most cited work, "Reliable Memory Sampled-Data Consensus of Multi-Agent Systems With Nonlinear Actuator Faults" (2021), has garnered 31 citations and introduces a memory-based sampled-data framework that reduces communication overhead while maintaining system stability under actuator faults—a critical contribution for energy-constrained multi-agent networks. He has also advanced H∞ control design for T–S fuzzy systems, applying it to two-link robotic systems, and explored dissipative control for single flexible joint robots. Though his publication record is still developing, Datta’s focus on practical, fault-resilient control strategies for nonlinear and robotic systems demonstrates clear potential. His work bridges theoretical control design with real-world applications in robotics and networked systems, making it relevant for researchers in automation, cyber-physical systems, and intelligent control.
Research Focus
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Top Papers
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