Max Robotics — Global Service Robot Directory + US Certification

About

Shenghang Liu is an emerging researcher specializing in adaptive control, cybersecurity for cyber-physical systems, and intelligent control of nonlinear systems. His work sits at the critical intersection of control theory and network security, addressing the increasingly urgent challenge of designing robust control strategies for systems operating under malicious cyberattacks. Liu's most significant contributions involve developing sophisticated observer-based and output feedback control frameworks that remain resilient against denial-of-service (DoS) attacks and deception attacks — two of the most disruptive threats in networked control environments. His 2024 paper introducing a composite observer-based dynamic event-triggered adaptive fuzzy control strategy has rapidly garnered 19 citations, reflecting strong community interest in prescribed-time control under intermittent DoS attacks. Complementing this, his work on adaptive resilient control for cyber-physical systems facing deception attacks — accumulating 12 citations — demonstrates his ability to tackle the nuanced problem of counterfeit data injection corrupting system state information. Liu further extends his contributions to practical applications, including quantized output feedback control validated on single-link robotic systems. Collectively, his research provides the control engineering community with principled, mathematically rigorous tools for securing nonlinear systems against real-world cyber threats, establishing him as a promising voice in resilient intelligent control.