Papers
2
Total Citations
6
H-Index
2
About
Zizhen An is a rising researcher in nonlinear control systems and soft robotics, whose work addresses critical challenges in system stability under real-world imperfections. An’s primary research areas include hysteresis compensation, disturbance rejection, and cyber-physical security in control systems. Their major contributions lie in developing right coprime factorization-based frameworks that simultaneously handle input hysteresis—a common nonlinearity in smart materials—and external output disturbances such as modeling errors and friction. In their 2024 paper on simultaneous control of input hysteresis and output disturbance, applied to a soft robotic finger, An demonstrated a practical method to mitigate instability and performance degradation, earning 4 citations. Expanding this work, An integrated machine learning with operator-based control to address Denial of Service (DoS) attacks, which can sever feedback signals and compromise system security. This 2024 study, with 2 citations, pioneers a robust control design that maintains stability under both cyber threats and hysteresis. An’s research is notable for bridging theoretical nonlinear control with tangible applications in soft robotics, offering resilient solutions for systems prone to both physical and cyber vulnerabilities. Their work is increasingly relevant as soft robotics and networked control systems become more prevalent.
Research Focus
Key Achievements
Top Papers
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