Research output per year
Research output per year
Project Details
Description
Modern technology is increasingly leading to complex systems with high demands on performance, robustness, safety and availability. As a consequence, advanced control and process automation methods play an important role in achieving these requirements.
This research project deals with the development of new concepts for the following two key aspects of automation:
1) Processsupervision, monitoring and fault diagnosis, and
2) Advanced control of complex systems.
For these purposes we apply and develop new methodologies from the research fields of Control, Artificial Intelligence, Computer Science and Mathematics to develop and implement a novel concept for the automation of complex systems.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/01 → 31/12/09 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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A Causal Analysis Method for Concurrent Hybrid Automata
Hofbaur, M. & Wotawa, F., 2006, Proceedings of the 21st National Conference on Artificial Intelligence. Menlo Park, California: AAAI Press, p. 840-846Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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A Causal Analysis Method for Concurrent Hybrid Automata
Hofbaur, M. & Wotawa, F., 2005, .Research output: Book/Report › Other report
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A Diagnosis-Based Causal Analysis Method for Concurrent Hybrid Automata
Hofbaur, M. & Wotawa, F., 2005, Proceedings of the 16th International Workshop on Principles of Diagnosis (DX05). ., p. 81-87Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review