Conference paper
Representing Causality and Reasoning about Controllability of Multi-level Flow-Systems
Electric Energy Systems, Department of Electrical Engineering, Technical University of Denmark1
Department of Electrical Engineering, Technical University of Denmark2
Automation and Control, Department of Electrical Engineering, Technical University of Denmark3
Centre for Electric Technology, Centers, Technical University of Denmark4
Safe operation of complex processes requires that operators maintain situational-awareness even in highly automated environments. Automatic reasoning can support operators as well as the automation system itself to react effectively and appropriately to disturbances. However, knowledge-based reasoning about control situations remains a challenge due to the entanglement of process and control systems that co-establish the intended causal structure of a process.
Due to this entanglement, reasoning about such systems depends on a coherent representation of control and process. This paper explains modeling of controlled processes with multilevelflow models and proposes a new framework for modeling causal influence in multilevel flow models on the basis of a flow/potential analogy.
The results are illustrated on examples from the domain of electric power systems.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2010 |
| Pages: | 1896-1903 |
| Proceedings: | 2010 IEEE International Conference on Systems, Man and Cybernetics |
| Journal subtitle: | Intelligent Systems for a Safe and Secure World |
| ISBN: | 1424465869 , 9781424465866 , 1424465877 , 1424465885 , 9781424465873 and 9781424465880 |
| ISSN: | 1062922x and 25771655 |
| Types: | Conference paper |
| DOI: | 10.1109/ICSMC.2010.5642272 |
| ORCIDs: | Heussen, Kai and Lind, Morten |
Causality Functional Modeling Intelligent Control Knowledge-based Systems Means-ends Model-based reasoning Power Systems
Encapsulation automatic reasoning automation system causality causality representation complex process controllability electric power system inference mechanisms knowledge based reasoning knowledge based systems multilevel flow system controllability power system control situational awareness
