NONMONOTONIC INFERENCE SYSTEMS FOR MODELLING DYNAMIC PROCESSES
PhD Thesis, February 1992
The ability to model dynamic processes mathematically is an important aspect of automatic control. While traditional control theory has proven successful in characterising continuous dynamic processes, it appears that different mathematical tools are required for modelling processes characterised by discrete events. This thesis investigates the use of nonmonotonic logics as a basis for modelling such processes.
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