We consider a control system in which sensor data is transmitted from the plant to a receiver over a communication channel, and the receiver uses the data to estimate the state of the plant. Using a feedback policy to choose when to transmit data, the goal is to schedule transmissions to balance a trade-off between communication rate and estimation error. Computing an optimal policy for this problem is generally computationally intensive. Here we provide a simple algorithm for computing a suboptimal policy for scheduling state transmissions which incurs a cost within a factor of six of the optimal achievable cost. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Cogill, R., Lall, S., & Hespanha, J. P. (2010). A constant factor approximation algorithm for event-based sampling. Lecture Notes in Control and Information Sciences, 398, 51–60. https://doi.org/10.1007/978-3-540-93918-4_5
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