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MATLAB command figure

Figure 3.6 The plot of f(x) using the MATLAB plot command. [Pg.84]

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]

Note that r locus and r locf ind works for both continuous and discrete systems. The statement squar e provides square axes and so provides a round unit circle. The command zgr id creates a unit circle together with contours of constant natural frequency and damping, within the unit circle. When examp76.m has been run, using r locf ind at the MATLAB prompt allows points on the loci to be selected and values of K identified (see Figure 7.20)... [Pg.399]

The first graphical representation using MATLAB software is that of a two-dimensional contour surface plot of the data from Table 75-1 [2], This Figure 75-3 plot can represent multiple levels of j-axis data (absorbance) by the use of contours and color schemes. The MATLAB commands for generating this image are given in Table 75-2 where A represents the raster data matrix shown in Table 75-1. [Pg.505]

We next discuss the MATLAB file runsolveadiabxy. m, which draws Figure 3.3 upon the command runsolveadiabxy(285,305,1,8.5). [Pg.75]

Exercise your command of MATLAB by trying to replicate the three graphs in Figure 3.15. Learn about the subplot, xlabel, ylabel, and title MATLAB commands and how to use them. [Pg.114]

It is advisable to graph and inspect the reaction more closely at the entrance of the reactor. After a few experiments with Vend = 0.1, 0.04, and 0.01, we have set the desired final volume to Vend = 0.01 m3 in Figure 4.4, which is drawn by the MATLAB command fixedbedreactf.003,160,1200,1030,.01,15,0,1) . ... [Pg.146]

Figure 4.29 was obtained via the MATLAB code hetcontbifmultiK.m which we have derived from hetcontbif range. m. It features an auxiliary plot of the exponential curve to find the proper axes limits for the plot first. Note also the elaborate sequence of legend commands that we use. [Pg.194]

A detailed reading of the fluidbed.m program reveals that a hold on MATLAB command is put onto the plot that is never released. This helps us draw multiple trajectories onto one 3D plot such as in Figure 4.34. Note that Figure 4.34 depicts the actual MATLAB output after a suitable rotation as explained before on p. 186. If the user wants... [Pg.202]

To start Matlab it is easiest to simply click the icon which should be available if properly installed, and a blank screen as in Figure A.33 will appear. Each Matlab command is typed on a separate line, terminated by the (ENTER) key. If the (ENTER) key is preceded by a semi-colon ( ) there is no feedback from Matlab (unless you have made an error) and on the next line you type the next command and so on. Otherwise, you are given a response, for example the result of multiplying matrices together, which can be useful but if the information contains several lines of numbers which fill up a screen and which may not be very interesting, it is best to suppress this. [Pg.457]

The above code represents the model for Equations (3.27) with this code we can use a package such as Matlab to simulate the behavior of the model. The simulation illustrated in Figure 3.4 is completed using the following commands in Matlab ... [Pg.55]

Equations (F) to (H) correspond to a system of coupled, nonlinear differential equations that may be combined with the rate laws in equations (C) to (E) and integrated numerically using any suitable engineering software, such as the odel5 or ode23 commands in Matlab. The results for the product species concentrations are shown in the PER panel in Figure 19.5. [Pg.288]

On the last command line, note that the three periods. . . (an dlipris) represents a continuation marker in MATLAB. The ellipsis means there is more to ibUow on this command line. Note the use of fprintf and disp commands. The final result for Example 14.2 (Revisited) is shown in Figure 15.5. [Pg.429]

The MATLAB Command Window for Example 15.4 is shown in Figure 15.12. The plot of volume versus x is shown in Figure 15.13. [Pg.438]

Now let s say that we want to plot the volume as a function of x. We then simply type die MATLAB commands that are shown in Figiire 15.24. The resulting plot is shoVm in Figure 15.25. [Pg.445]

The layout of MATLAB can be seen in Figure 4.1. There are a number of different layouts that the user can define, see Layout Tab. We select one basic layout that consists of the workspace, in the figure to the left top corner, where the variables are stored a command history, to the right bottom corner, where a log of operations is stored and the command window, where calculations can be executed. [Pg.92]

Figure 1.2 Some simple commands (i.e., MATLAB acts like a scientific calculator). Figure 1.2 Some simple commands (i.e., MATLAB acts like a scientific calculator).
Figure 1.5 A short list of general purpose MATLAB commands. Figure 1.5 A short list of general purpose MATLAB commands.
Figure 1.6 MATLAB help for the specific command det, which evaluates the determinant of the square matrix X. Figure 1.6 MATLAB help for the specific command det, which evaluates the determinant of the square matrix X.
Figure 1.7 MATLAB context-sensitive functions browser, which lies on the left of the command prompt, and has the symbol f. ... Figure 1.7 MATLAB context-sensitive functions browser, which lies on the left of the command prompt, and has the symbol f. ...
Figure 1.17 shows the MATLAB-generated figure that contains two subplots. The first subplot command picks the first row of this panel and plots the cosine function in it. The second picks the second row and plots the sine function in it. In this way, the two subplots are vertically aligned. [Pg.40]

Figure 3.4 MATLAB s built-in m-editor, in which commands can be entered line by line or pasted from another application. Figure 3.4 MATLAB s built-in m-editor, in which commands can be entered line by line or pasted from another application.
Figure 3.S shows the set of commands as they appear in the MATLAB m-editor. qroots.m simply accepts a, b, and c coefficient values from the user as input parameters calculates two terms terml and term2 that will be utilized in finding the two quadratic roots si and s2 and finally prints out the... Figure 3.S shows the set of commands as they appear in the MATLAB m-editor. qroots.m simply accepts a, b, and c coefficient values from the user as input parameters calculates two terms terml and term2 that will be utilized in finding the two quadratic roots si and s2 and finally prints out the...

See other pages where MATLAB command figure is mentioned: [Pg.207]    [Pg.60]    [Pg.469]    [Pg.410]    [Pg.506]    [Pg.125]    [Pg.202]    [Pg.410]    [Pg.74]    [Pg.86]    [Pg.459]    [Pg.470]    [Pg.474]    [Pg.506]    [Pg.109]    [Pg.138]    [Pg.421]    [Pg.438]    [Pg.453]    [Pg.358]    [Pg.14]    [Pg.74]   
See also in sourсe #XX -- [ Pg.469 ]




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