Matlab user interface

The graphs are designed to be simple but instructive. They do not make use of the richness of the Matlab graphics routines. We did not include any graphical user-interfaces (GUIs) in order to avoid difficulties with different versions of Matlab. Matlab versions starting from 5.3 should be compatible with all programs in this book. 

Overall, most of the requirements for a process spectrometer/analyzer are straightforward to implement, but they do require attention at the design level. Another important area, which is FTIR specific, is the user interface and the need to provide for industry standard data communications. Standard software packages do exist for process instrumentation. For prototype development, and even for the front-end interface in a stand-alone mode of operation, software products, such as National Instraments Lab View and the Mathworks MatLab, are also important instrumentation development tools. Note that National Instruments also provides important computer-based electronics and hardware that meet most of the computer interfacing, and system control and communications needs for modem instrumentation. For practical installations, a product known... 

A number of standard computer programs easily handle problems of this type such as spreadsheet packages, Matlab, Mathcad, Polymath, and so on as well as symbolic manipulators such as Mathematica, Maple, Derive, etc. Most statistic packages and equation solvers will also solve linear equations and have a simple user interface. 

A convenient way of creating and organizing functional-level models is to use signal flow simulators with graphical user interfaces, such as MATLAB Simulink [http //www.mathworks.com]. Signal flow simulators offer the user a simple way to express physical behavior in diagrams of directed and nonfeedback building... 

Ethernet, or optional wireless interface are used for control from a PC and the system can be optionally extended with integrated graphical user interfaces, data analysis, and storage for stand-alone instrument use. The Corn-Interface allows for fiiU instrument control from Java, C, Lab View, Matlab, and so on. Additional fast hardware synchronization is possible through several sync in/out ports. 

A Matlab program with graphical user interface has been developed for the simulation of binary and ternary polymer systems. The users can easily edit the material properties and environment variables in the program, and the results are saved as images and data files in a designated folder. Analysis tools are also implemented in the Matlab program [74]. 

There have been some good developments in user interface technology for scientific computing, and some exceptions to the sad state of most of our software interfaces. In fact, I think that the first one is obvious MATLAB. It is an excellent example of the value of a beautiful interface, but it has been directed primarily at relatively small problems. 

The PLS toolbox by Eigenvector Research (2004) is a veiy useful tool to perform a principal component analysis. When the toolbox is installed under Matlab, it can be called by typing pea. The following graphical user interface appears ... 

Instead of the MATL AB command mode, one could also use the identification graphical user interface (ID-GUI) to identify the model. Type clear and clc in the MATLAB command window to clear the workspace. Then type load pll to load the data and whos to see the variable names, they should be JTand T. Now type ident to start the ID-GUI after which Fig. 24.6 should appear. 

The identification can also be done using the MATLAB graphical identification user interface. Different model orders and dead times can quickly be tried and results plotted. The models can be viewed using the LTl viewer. 

The neural network can also be developed using the MATLAB graphical user interface. To start it, type nntool. The window shown in Fig. 27.10 will appear. 

MATLAB Graphical User Interface Design Environment (GUIDES... 

This chapter is intended for advanced users (i.e., developers) to demonstrate the advantage of using the MATLAB built-in Graphical User Interface Design Environment (GUIDE) as a tool to create a code working behind a friendly Graphic User Interface (GUI). 

The set of user interface components supplied with MATLAB allows the user to design GUIs that match those used in sophisticated software packages. Such components are graphics objects with handles and properties. They come in two classes user interface controls (uicontrols) and user interface menus (uimenus). The uicontrols and uimenus can be combined with other graphics objects... 

A short list of such tools is reported in Table 1, where GUI and MOO indicate, respectively, if the software has a Graphical User Interface and if it allows for multi-objective optimization. We also indicate if each tool is open-source and if it allows for customization of the optimization algorithms. We should note that we included in the table only multi-disciplinary optimization tools that are specifically based on CIO methods, while we excluded software based on classic techniques for convex optimization, integer linear/non-linear programming and methods addressing combinatorial optimization only. We also excluded those technical software products that are not devoted specifically to optimization but still may include optimization methods, such as Matlab (which provides the Optimization Toolbox), and other CAD/CAE or multi-physics software, as well as multi-disciplinary tools that provide (as an extra feature) one or more, often domain-specific, optimization techniques (see for instance AVL CAMEO [23]). 

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