Abstract
In this paper, we address optimal information control in cyber-physical systems. In particular, we study the optimal closed-loop policy for transmission of measurements of a stochastic dynamical system through a communication channel given estimation and communication costs. We develop a framework for optimizing an aggregate cost function that incorporates the estimation and the communication costs over a finite time horizon. We obtain the optimal closed-loop policy, and show that it can be expressed directly in terms of the value of information. In addition, we propose an approximation algorithm that yields a suboptimal closed-loop policy. Numerical and simulation results are presented for a simple system.
| Original language | English |
|---|---|
| Pages (from-to) | 1-6 |
| Number of pages | 6 |
| Journal | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Volume | 49 |
| Issue number | 22 |
| DOIs | |
| State | Published - 2016 |
Keywords
- Closed-Loop Policy
- Estimation
- Event-Driven Sampling
- Value of Information
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