Event-Triggered Stochastic Control via Constrained Quantization

We consider a discrete-time linear quadratic Gaussian networked control setting where the (full information) observer and controller are separated by a fixed-rate noiseless channel. We study the event-triggered control setup in which the encoder may choose to either transmit a packet or remain silen...

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Bibliographic Details
Main Authors: Yildiz, Hikmet, Su, Yu, Khina, Anatoly, Hassibi, Babak
Format: Conference Proceeding
Language:English
Subjects:
Communication channels
Cyber-physical systems
Data compression
Event triggered control
Internet of Things
Linear quadratic Gaussian control
Networked control
Optimal control
Probability density function
Quantization
Quantization (signal)
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Summary:We consider a discrete-time linear quadratic Gaussian networked control setting where the (full information) observer and controller are separated by a fixed-rate noiseless channel. We study the event-triggered control setup in which the encoder may choose to either transmit a packet or remain silent. We recast this problem into that of fixed-rate quantization with an extra symbol that corresponds to the silence event. This way, controlling the average transmission rate is possible by constraining the minimal probability of the silence symbol. We supplement our theoretical framework with numerical simulations.
ISSN:2375-0359
DOI:10.1109/DCC.2019.00124