Max Robotics — Global Service Robot Directory + US Certification

About

Zhiru Cao is a leading researcher in cyber-physical systems (CPS) security and advanced sliding-mode control theory. Her work focuses on fortifying critical infrastructure against cyber threats, particularly injection attacks that compromise control signals over communication networks. In her seminal 2019 paper (279 citations), she pioneered finite-time sliding-mode control for Markovian jump CPS under randomly occurring injection attacks, establishing a robust framework that guarantees system stability even when adversaries inject false data with probabilistic patterns. She further advanced the field by addressing practical implementation challenges, including sampled-data systems over fading wireless channels with randomly switching sampling periods (2023, 44 citations) and aperiodic sampling issues in Markovian jump systems under cyber attacks (2023, 10 citations). Her contributions bridge the gap between theoretical control design and real-world constraints like unreliable communication, variable sampling rates, and stochastic cyber threats. Cao’s work is highly influential in the growing intersection of control theory, cybersecurity, and networked systems, providing foundational tools for engineers designing resilient CPS in applications from smart grids to autonomous vehicles.