Qualitative bond graph is adopted as the modeling scheme to generate a set of qualitative equations.
The QBG is adopted as the modeling scheme to generate a set of qualitative equations.
Genetic algorithms (GA's) are then used to search for possible faulty components among a system of qualitative equations.
We suggest that GA's can be used to search for possible fault components among a system of qualitative equations.
In this paper, genetic algorithms are proposed to search for possible fault components among a system of qualitative equations.
In this paper, qualitative bond graph (QBG) reasoning is adopted as the modeling scheme to generate a set of qualitative equations.
This paper presents the development of energy-based unified representations for buildings called Archi Bond Graphs and then specialises them as qualitative Archi Bond Graphs that combine graphical representations and qualitative equations.
The tool solves large systems of qualitative equations which connect the variations of a node to the variations of its precursors in the interaction graph.
One of the subfields of QR, qualitative differential equation model learning (QML) [ 48], involves the construction of qualitative differential equation models of dynamic systems from observed data and existing knowledge.
