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Script files

Script files A seript file is an ASCII text file of MATLAB eommands, that ean be ereated using... [Pg.382]

The script file exampSSa.m shows how this is achieved... [Pg.390]

Case study Example 5.11 uses root locus to design a ship roll stabilization system. The script file exampSll.m considers a combined PD and PID (PIDD) controller of the form... [Pg.392]

This script file produces the root locus shown in Figure 5.24 and allows the user to select the value of K furthest from the imaginary axis that corresponds to ( = 0.7. The command window text is... [Pg.392]

The script file examp61h.m shows how it is possible to customize a Bode diagram... [Pg.393]

Note that to obtain a reasonable diagram, it is usually necessary for the user to define the scales of the x and y axes using the axis command. The script file examp64a.m produces the Bode gain diagrams for the same system when K = A and 8, see Figure 6.23(a). [Pg.394]

Script file fig627.m produces the Nichols chart for Example 6.4 when K = 4, as illustrated in Figure 6.27. The command ngrid produces the closed-loop magnitude and phase contours and axis provides user-defined axes. Some versions of MATLAB appear to have problems with the nichols command. [Pg.395]

Running script file fig629.m will produce the closed-loop frequency response gain diagrams shown in Figure 6.29 for Example 6.4 when K = 3.8 and 3.2 (value of K for best flatband response). [Pg.395]

Script file examp77.m plots the closed-loop step responses of both the continuous system and discrete system (see Figure 7.21). In the latter case the plant pulse transfer function uses zoh, and the compensator is converted into discrete form using... [Pg.399]

The continuous and discrete closed-loop systems are shown in Figures 7.22(a) and (b). The digital compensator is given in equation (7.128). Script file examp78.m produces the step response of both systems (Figure 7.25) and prints the open and closed-loop continuous and pulse transfer functions in the command window... [Pg.401]

The script file kalfild.m solves, in forward-time, the discrete solution of the Kalman filter equations, using equations (9.74), (9.75) and (9.76) in a recursive process. The MATLAB command Iqed gives the same result. [Pg.411]

Could not read Cheshire Script file. + e.getMessage()) ... [Pg.174]

MATLAB m files can contain any number of MATLAB commands. They are handy for long sets of MATLAB instructions or data and afford easy repeated use and easy modification. There are two kinds of MATLAB m files function and script m files. Script m files such as poly9. m on p. 28 use the data that is defined inside of them and any undefined data is taken from the data (with the proper name) that is currently active on the workspace look at the top left window commonly displayed on the MATLAB desktop for a list of defined variables and their type. Script files overwrite the workspace data as instructed in their code. [Pg.44]

The general format of the script file for ligand (L) binding to two-site receptor (R) is... [Pg.113]

The student should consult the script files in the example directory of the distribution program for the requisite format in order to run DynaFit successfully. [Pg.114]

Figure 6.1. DynaFit start windows. After loading script file, the program automatically inputs data file and plots raw data in the graphic window. Start the analysis (File->Run ) upon receiving Ready to run instruction in the status window. Figure 6.1. DynaFit start windows. After loading script file, the program automatically inputs data file and plots raw data in the graphic window. Start the analysis (File->Run ) upon receiving Ready to run instruction in the status window.
Documentation requirements shall be dependent on the nature and criticality of IT infrastructure software and hardware. Command files and script files should also be considered when defining documentation requirements. Typical documentation requirements for IT Infrastructure components are defined in Table 37.2. [Pg.847]

Table 14.2 Action modules and list of parameters which are transferred from the script file to the individual program modules for the different experimental sequences... Table 14.2 Action modules and list of parameters which are transferred from the script file to the individual program modules for the different experimental sequences...
The jackknife has a number of advantages. First, the jackknife is a nonparametric approach to parameter inference that does not rely on asymptotic methods to be accurate. A major disadvantage is that a batch or script file will need to be needed to delete the ith observation, recompute the test statistic, compute the pseudovalues, and then calculate the jackknife statistics of course, this disadvantage applies to all other computer intensive methods as well, so it might not be a disadvantage after all. Also, if 9 is a nonsmooth parameter, where the sampling distribution may be discontinuous, e.g., the median, the jackknife estimate of the variance may be quite poor (Pigeot, 2001). For example, data were simulated from a normal distribution with mean 100 and... [Pg.354]

If Perl is installed in the standard way on the computer, the perl command does not have to be explicitly typed. On UNIX systems, the script file can be marked as being directly executable using the chmod command ... [Pg.415]

The topmost line is also a Perl comment, but on UNIX systems it serves doubleduty as a directive to the UNIX shell to tell it to execute the command /usr/bin/ perl when the script file is executed. On Macintosh and Windows systems, this line is extraneous, but it is better to include it to maintain portability with UNIX machines and as a matter of good form. [Pg.416]

This script file computes the dynamic RGA for Example 21.3... [Pg.755]

For an offline FDI, the real system may be replaced by a behavioural model that allows to introduce deliberately all kinds of fault and to study their effect with no risk. The equations derived from a model of the faulty system are integrated with respect to time by means of an appropriate solver starting from initial conditions, while the derivatives of inputs into the diagnostic bond graph model are computed in discrete time. Evaluation of the faulty system model and computation of the ARR residuals can be performed by means of Scilab script files. [Pg.99]

These operations can be hardly manually performed, even for models of small size. However, a bond graph preprocessor such as CAMPG [11] can automatically derive the equations from the original as well as from the incremental bond graph. MATLAB [12] or Scilab [13] script files can then generate the matrices F and F in symbolic form and can perform the multiplication of a row of F by the factor F j8j for each requested parameter sensitivity of an ARR residual. [Pg.109]

Timing force.do Script file to simulate mitring.v in ModelSim (timing)... [Pg.2]

Create a simulation environment, and apply stimuli to mac test module from a script file force, do . [Pg.9]

Functional verification Verify if the results are correct and determine the propagation time of the 8-hit register from the script file timing force.do ... [Pg.22]

One of the most valuable features of the system is its ability to run predictive simulations on a routine basis. These look-ahead simulations are run using a copy of the process model. This model is initialised with a snapshot of the current conditions in the real-time model. It is then run, as fast as possible, for a specified time into the future. Key variables in the model are monitored for alarm conditions. If an alarm is raised it is sent to a special look-ahead alarms list and is reported to the operator. Future operator actions can be simulated by using a script file that executes the required actions on the... [Pg.427]

It is simple to model this equation using a spreadsheet (such as EXCEL), or programs such as MATLAB, or graphics calculators. However, it must be borne in mind that the logarithmic model does not work at very low currents, especially at zero. It is best to start the plots with a current of l.OmAcm. As an example, we have given below the MATLAB script file that was used to produce the graph in Figure 3.1. [Pg.60]

You wish to find all the clocks defined in your design and their clock periods within a dc shell script file. Using this information, you then wish to specify some constraints and attributes related to the clocks. [Pg.122]

In the dc shell script file used to synthesize the FSM, notice that the script changes the encoding style to one-hot inspite of the encoding being different in the source code. Figure 5.3 shows the FSM inferred. The same dc shell script can be used for Verilog code along with the appropriate file names. [Pg.145]

The previous work by the authors leading to this has ensured that the Petri-Net model proposed, is reliably constructed based upon an in-depth, and up-to-date review of PEMFC failure phenomena. The failure logic is sound based upon current literature. However, if further interactions or modules are discovered that need to be added, the Petri-Net model can easily facilitate this occurrence, with a simple addition to the script files. [Pg.2154]

To execute the script M-file, simply type the name of the script file, qroots, at the MATLAB prompt ... [Pg.79]

The name of a script file must follow the MATLAB convention for naming variables that is, the name must begin with a letter and may include digits and the underscore character. [Pg.80]


See other pages where Script files is mentioned: [Pg.393]    [Pg.410]    [Pg.164]    [Pg.177]    [Pg.113]    [Pg.114]    [Pg.40]    [Pg.41]    [Pg.57]    [Pg.409]    [Pg.86]    [Pg.229]    [Pg.2]    [Pg.446]    [Pg.529]    [Pg.74]   
See also in sourсe #XX -- [ Pg.382 ]




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