2018 IEEE Conference on Decision and Control (CDC) 2018
DOI: 10.1109/cdc.2018.8619754
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Observer design for networked control systems implemented over WirelessHART

Abstract: We study the design of state observers for nonlinear networked control systems (NCSs) that are implemented over WirelessHART (WH). WH is a wireless communication protocol for process automation applications. It is characterised by its multi-hop structure, slotted communication cycles, and simultaneous transmission over different frequencies. We present a solution based on the emulation approach. That is, given an observer designed with a specific stability property in the absence of communication constraints, … Show more

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Cited by 2 publications
(6 citation statements)
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“…In this current work, and inspired by [10], we use similar techniques in the context of observer design to show that exploitation of WH network structure yields less conservative MATI bounds guaranteeing an ISS property for the estimation error system. Moreover, we improve our previous results in [13], where we used UGES protocols and Lyapunov-based analysis in the observer design problem over WH-NCSs. Finally, we illustrate our results in the design of high gain observers for a class of Lipschitz non-linear systems.…”
Section: Introductionmentioning
confidence: 57%
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“…In this current work, and inspired by [10], we use similar techniques in the context of observer design to show that exploitation of WH network structure yields less conservative MATI bounds guaranteeing an ISS property for the estimation error system. Moreover, we improve our previous results in [13], where we used UGES protocols and Lyapunov-based analysis in the observer design problem over WH-NCSs. Finally, we illustrate our results in the design of high gain observers for a class of Lipschitz non-linear systems.…”
Section: Introductionmentioning
confidence: 57%
“…Such structure is exploited in our analysis to further reduce conservatism, yielding an even larger MATI bound. Moreover, we illustrate in examples that this bound is significantly larger than the bound proposed in [13].…”
Section: Introductionmentioning
confidence: 79%
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