Abstract
This paper describes a tool to aid in the analysis and design of fault detection systems for processes which present bounded structured uncertainty (only bounds for the values of their physical parameters are known). This uncertainty is considered in the fault detection methodology by using interval models to represent the processes. The tool has been implemented using the well-known Matlab/Simulink CACSD framework. This framework is very useful in the analysis and design of control systems and can also be used in the analysis and design of supervisory systems (which must include fault detection capabilities).
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