Modeling and System Identification
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چکیده
1. System Description what we know about the system. Boundary Conditions. Assumptions about the system (behaviour, environment) 2. Inputs, Outputs, Parameters, States Here we define which aspects of the system are measurable, which have a significant effect – What can we set, what can we measure, which do not change over time. Implicitly we also define the time-scale of interest (micro-seconds to decades), and whether the system is a discrete-time process, continuous time, or a hybrid of both. 3. Purpose of the Model What information do we want to represent and extract from the system.
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تاریخ انتشار 2007