When MatLab was first released in 1985, it was capable of handling only low level systems such as KLIPSE, X-Lite, and the System Identification Toolbox. However, with a continued development and change, the tools found in MATLAB could be used to access the more complex environments like Oracle, Informix, etc.
Java programming language is another programming language that is supported by the System Identification Toolbox. Users can configure the matlab command prompt to use the Java support to save many crucial commands like: Run, Run – All, Save All, Open, Load All, Exit, etc. A Java command prompt is also available through the Help section for users who are not familiar with the Java programming language.
The MatLab toolbox provides numerous ways to report diagnostic results. These include the log file, error log, exceptions, doc, XML, fault table, and other formatted output formats. Each of these output formats should be tailored to the type of reporting being required.
One way to generate report is by using a custom formatted xml document. The xml output format in this case must have:
Every line must start with a header that contains constant values. It must be noted that these values are stored in a specific format so that one can produce all output files in a text format.
Most of the reports produced by the System Identification Toolbox reports that report the original source of the error. Each report is produced as if they were debugging information.
All information should be of the kind that would help in locating and rectifying the problem in the program. Also, one must not expect that the user should write a report as a programmer. He should know what he is reporting.
It is wise to read the PODOC section of the System Identification Toolbox before writing the report. The PODOC is where it states the standard format of the report generated by the toolbox.
Each reporting tool supports multiple reporting types. The System Identification Toolbox has the following reporting types:
There are also more than six reporting modes provided by the toolbox. For example, the use of the Report Mode Command from the MatLab command prompt, the Report Mode Command Line, Debugger mode, Logging Mode, and the Report Mode Output configuration.
In addition, the System Identification Toolbox has been a significant contributor to the MatLab framework. Its support for the creation of various debugging environments, the support for platform support, and the help for the developer in finding diagnostic errors make the toolbox truly invaluable.