---
title: "Model Compilation for Real-Time Planning and Diagnosis with Feedback"
authors:
  - "Anthony Barrett"
doi: ""
url: "https://ijcai.org/proceedings/2005/223"
pdf: "https://ijcai.org/proceedings/2005/0223.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1195-1199"
track: ""
keywords:
---

# Model Compilation for Real-Time Planning and Diagnosis with Feedback

Anthony Barrett

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1195-1199.

## Abstract

This paper describes MEXEC, an implemented micro executive that compiles a device model that can have feedback into a structure for subsequent evaluation. This system computes both the most likely current device mode from n sets of sensor measurements and the n-1 step reconfiguration plan that is most likely to result in reaching a target mode – if such a plan exists. A user tunes the system by increasing n to improve system capability at the cost of real-time performance.