Priority Inheritance Protocols: An Approach to Real-Time Synchronization
IEEE Transactions on Computers
Fieldbus Technology: Industrial Network Standards for Real-Time Distributed Control
Fieldbus Technology: Industrial Network Standards for Real-Time Distributed Control
Conclusions of the ARTIST2 roadmap on control of computing systems
ACM SIGBED Review - Special issue on major international initiatives on real-time and embedded systems
Feedback control-based dynamic resource management in distributed real-time systems
Journal of Systems and Software
Brief paper: Stability robustness of networked control systems with respect to packet loss
Automatica (Journal of IFAC)
An architecture for flexible scheduling in Profibus networks
Computer Standards & Interfaces
Attributes of industrial machine and process control systems
International Journal of Computer Applications in Technology
Simulation integrated management layer for real-time embedded DCN
Computer Standards & Interfaces
Proposal and evaluation of dynamic assignment of priorities in CAN
Computer Standards & Interfaces
Decentralized and dynamic bandwidth allocation in networked control systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
INtERCEDE: An algorithmic approach to networked control system design
Journal of Network and Computer Applications
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With traditional open-loop scheduling of network resources, the quality-of-control (QoC) of networked control systems (NCSs) may degrade significantly in the presence of limited bandwidth and variable workload. The goal of this work is to maximize the overall QoC of NCSs through dynamically allocating available network bandwidth. Based on codesign of control and scheduling, an integrated feedback scheduler is developed to enable flexible QoC management in dynamic environments. It encompasses a cascaded feedback scheduling module for sampling period adjustment and a direct feedback scheduling module for priority modification. The inherent characteristics of priority-driven control networks make it feasible to implement the proposed feedback scheduler in real-world systems. Extensive simulations show that the proposed approach leads to significant QoC improvement over the traditional open-loop scheduling scheme under both underloaded and overloaded network conditions.