Zhou Gu
Papers
2
Total Citations
146
H-Index
2
About
Zhou Gu is a leading researcher in resilient control systems, specializing in the security and efficiency of networked cyber-physical systems. His work addresses critical vulnerabilities in modern control architectures, particularly against malicious cyberattacks. Gu’s most influential contribution is the development of a **memory-based event-triggering mechanism (ETM)** for Takagi–Sugeno (T–S) fuzzy systems, which intelligently utilizes past system information to maintain stability under bounded cyberattacks—a paper that has garnered **over 130 citations**. He further advanced the field by co-designing event-triggered schemes with H∞ output control for Markov jump systems under deception attacks, demonstrating how to conserve communication resources while ensuring robust performance. By integrating memory into event-triggered control, Gu has provided a powerful framework that balances security, resource efficiency, and system resilience. His work is essential reading for researchers in control theory, cybersecurity, and networked systems, offering practical solutions for safeguarding critical infrastructure against evolving digital threats.
Research Focus
Key Achievements
Top Papers
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