A framework for the safe interoperability of medical devices in the presence of network failures
Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems
Dynamic Tuning Retransmission Limit of IEEE 802.11 MAC Protocol for Networked Control Systems
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Digital control of multiple discrete passive plants over networks
International Journal of Systems, Control and Communications
ACM SIGBED Review - Work-in-Progress (WiP) Session of the 2nd International Conference on Cyber Physical Systems
Networked control system wind tunnel (NCSWT): an evaluation tool for networked multi-agent systems
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems
A passivity approach for model-based compositional design of networked control systems
ACM Transactions on Embedded Computing Systems (TECS)
On the effects of time delay variations in the design of networked control system
International Journal of Systems, Control and Communications
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Real-life cyber-physical systems, such as automotive vehicles, building automation systems, and groups of unmanned vehicles are monitored and controlled by networked control systems. The overall system dynamics emerges from the interaction among physical dynamics, computational dynamics, and communication networks. Network uncertainties such as time-varying delay and packet loss cause significant challenges. This paper proposes a passive control architecture for designing wireless networked control systems that are insensitive to network uncertainties. We describe the architecture for a system consisting of a robotic manipulator controlled by a digital controller over a wireless network and we show that the system is stable even in the presence of time-varying delays. We present simulation results that demonstrate the advantages of the architecture with respect to stability and performance and show that the system is insensitive to network uncertainties.