Distributed network utility maximization using event-triggered augmented Lagrangian methods
ACC'09 Proceedings of the 2009 conference on American Control Conference
Network calculus: a theory of deterministic queuing systems for the internet
Network calculus: a theory of deterministic queuing systems for the internet
A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems
SIAM Journal on Optimization
Scaling properties of statistical end-to-end bounds in the network calculus
IEEE Transactions on Information Theory
HMM-based characterization of channel behavior for networked control systems
Proceedings of the 1st international conference on High Confidence Networked Systems
ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems
Co-design of control and platform with dropped signals
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
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A wireless networked control systems (NCS) is a control system whose feedback path is realized over a wireless communication network. The stability of such systems can be problematic given the random way in which wireless channels drop feedback messages. This paper establishes sufficient conditions for the almost sure stability of NCS under random dropouts. These conditions relate the burstiness in the dropout process to the nominal response of the controlled system. In particular, this means that the burstiness of the dropout process provides a convenient quality-of-service (QoS) constraint on the wireless channel that can be used to adaptively reconfigure the control system in a manner that guarantees the almost sure stability of the NCS. We also show how a probabilistic extension of the network calculus can be used to reconfigure multi-hop communication networks so this paper's sufficient stability condition is not violated.