Rongyao Ling
Papers
1
Total Citations
4
H-Index
1
About
Rongyao Ling is a researcher in control systems and networked control theory, with a focus on stochastic systems and communication-constrained environments. Their work addresses the critical challenge of maintaining performance and stability in discrete-time systems where data transmission is unreliable, particularly due to packet dropouts in actuating channels. In their notable 2019 paper, "Stochastic LQ control under asymptotic tracking for discrete systems over multiple lossy channels," Ling introduced a controller-coding co-design approach to solve the asymptotic tracking problem under linear quadratic (LQ) constraints. This work, which has garnered 4 citations, demonstrates how to jointly design the controller and coding scheme to achieve optimal tracking despite data loss. Ling's research is significant for applications in networked control systems, cyber-physical systems, and industrial automation, where communication imperfections are inevitable. By bridging control theory with communication constraints, Ling contributes to the development of more resilient and efficient control strategies for modern distributed systems. Their work continues to influence researchers working on stochastic control, multi-channel communication, and robust tracking in lossy environments.
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