Kai-Ming Yang

Papers

Total Citations

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About

Kai-Ming Yang is a researcher whose work bridges the gap between hardware design and precision control systems, with a particular focus on Field-Programmable Gate Arrays (FPGAs) and adaptive calibration technologies. His most cited paper, "Design of FPGA-based adaptive remote calibration control system" (2003), addresses a critical challenge in servomotor calibration for robotics and factory automation: the need for real-time system response. By leveraging FPGA architectures, Yang demonstrated how hardware-level solutions could achieve the rapid feedback necessary for adaptive control in dynamic environments. This work, which has garnered 3 citations, laid foundational insights into the integration of adaptive algorithms with reconfigurable hardware. Yang's contributions are particularly relevant to students and researchers exploring embedded systems, mechatronics, and industrial automation, as his approach highlights the trade-offs between software flexibility and hardware speed. While his citation count reflects a niche but impactful contribution, his focus on practical, real-time control solutions underscores a career dedicated to advancing the reliability and efficiency of automated systems.