Than Zaw Soe
Papers
1
Total Citations
4
H-Index
1
About
Than Zaw Soe is a researcher in networked control systems (NCSs), with a focus on the challenges of data quantization in bandwidth-limited communication networks. His work addresses a critical bottleneck in NCS applications—such as remote robot control and tele-surgery—where coarse quantization can degrade system performance. In his most cited paper, "Optimisation of dynamic quantisation and control for quantised state feedback control system" (2020, 4 citations), Soe proposes a method to jointly optimize quantization and control strategies, improving stability and precision under network constraints. This contribution is significant for advancing the reliability of real-time, remote-controlled systems. While his citation count is modest, his research tackles a foundational issue in cyber-physical systems, offering practical solutions for industries reliant on networked automation. Soe’s work is particularly relevant for students and engineers exploring the intersection of control theory and communication limitations, providing a stepping stone for further innovation in resilient NCS design.
Research Focus
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Top Papers
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