Mo–Yuen Chow
Papers
17
Total Citations
409
H-Index
10
About
Mo–Yuen Chow is a pioneer in networked control systems and distributed control, with a career focused on enabling reliable, secure, and real-time operation of systems connected over data networks. His foundational work introduced the Gain Scheduler Middleware, a methodology that allows existing controllers to compensate for network delays without requiring complete redesign—a breakthrough for teleoperation and networked robotics (157 citations). He later advanced the field of Distributed Networked Control Systems (D-NCS), addressing critical vulnerabilities by developing reputation-based secure distributed control algorithms to defend against malicious cyber attacks in multi-agent systems (52 citations). Chow also made key contributions to adaptive sampling rate scheduling for supervisory control and intelligent space systems, integrating distributed sensors and robots for time-sensitive applications. With over 350 cumulative citations, his research has directly shaped how engineers design resilient, secure, and adaptive control architectures for applications ranging from mobile robotics to electric power grids. His work on middleware-based adaptation and cybersecurity in D-NCS remains highly influential, providing practical solutions for next-generation networked automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Reputation-Based Secure Distributed Control Methodology in D-NCS52 citations · 2014
- 3
- 4Gain adaptation of networked mobile robot to compensate QoS deterioration31 citations · 2003
- 5Intelligent space with time sensitive applications24 citations · 2006
- 6Gain scheduling middleware for networked mobile robot control15 citations · 2004
- 7Secure distributed control in unreliable D-NCS14 citations · 2012
- 8A self-organized CMAC controller13 citations · 2002
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- 10