Kang Zhi Liu
Papers
1
Total Citations
4
H-Index
1
About
Kang Zhi Liu is a leading researcher in networked control systems (NCSs), with a focus on the critical challenge of data quantization under communication constraints. His work addresses the fundamental trade-off between control performance and limited network bandwidth, particularly in applications like remote robotics and tele-surgery. Liu’s most-cited paper, "Optimisation of dynamic quantisation and control for quantised state feedback control system" (2020), introduces a novel framework for jointly optimizing quantization strategies and control laws to maintain system stability and performance despite coarse data transmission. This contribution has garnered 4 citations, laying groundwork for more efficient NCS designs. Beyond this, Liu’s research explores dynamic quantization techniques that adapt in real-time, enabling robust operation in bandwidth-restricted environments. His work is pivotal for advancing the reliability and scalability of networked control in industrial automation and cyber-physical systems. Liu’s achievements include developing optimization algorithms that balance quantization precision with control objectives, a key step toward practical deployment of NCSs in safety-critical applications. His ongoing research continues to shape how engineers design control systems for the Internet of Things and beyond.
Research Focus
Key Achievements
Top Papers
- 1