LabVIEW System Identification Toolkit User Manual
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Software Revision Version: 7.1
Software version corresponds to the version of the application or driver software for this manual.
System identification involves building mathematical models of a dynamic system based on a set of measured stimulus and response data samples. You can use system identification in a wide range of applications, including mechanical engineering, biology, physiology, meteorology, economics, and model-based control design. For example, engineers use a system model of the relationship between the fuel flow and the shaft speed of turbojet engine to optimize the efficiency and operational stability of the jet engine. This manual focuses on how to use system identification in the model-based control design process, which involves identifying a model of a plant, analyzing and synthesizing a controller for the plant, simulating the plant and controller, and deploying the controller.
The LabVIEW System Identification Toolkit provides a library of VIs and an assistant for developing models of a system based on a large set of raw data. Both tools enable you to complete the entire system identification process from analyzing the raw data to validating the identified model.
This manual discusses the main steps in the system identification process and how to use the System Identification Toolkit to create applications that can accomplish the various tasks in the process.
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