Model Compilation for Real-Time Planning and Diagnosis with Feedback

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. 1

Cite

Text

Barrett. "Model Compilation for Real-Time Planning and Diagnosis with Feedback." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Barrett. "Model Compilation for Real-Time Planning and Diagnosis with Feedback." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/barrett2005ijcai-model/)

BibTeX

@inproceedings{barrett2005ijcai-model,
  title     = {{Model Compilation for Real-Time Planning and Diagnosis with Feedback}},
  author    = {Barrett, Anthony},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1195-1200},
  url       = {https://mlanthology.org/ijcai/2005/barrett2005ijcai-model/}
}