Matlab Simulink graphics

MATLAB- SIMULINK All types Powerful mathematical package especially for linear problems includes optimisation routines, powerful integration routines, model building blocks and graphical 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... 

FT (Fig.la) and CFT (Fig.lb) model Boolean formulas as trees with top events such as hazards as roots. Boolean gates such as And and Or as nodes, and basic failure modes such as component failures as leaves. CFT and FT provide the same qualitative and quantitative analyses, such as calculating hazard occurrence probabilities and minimal cut sets. However, FT show one separated tree for each top event. In contrast, CFT [8] [9] modularize many trees into fault tree components with many input and output failure modes according to the structure of a component model such as SysML block diagrams or Matlab/Simulink subsystems. CFT are nested as components. In addition, a CFT is formally as well as graphically integrated with the model... 

Simulink is a user-friendly simulation tool with an icon-driven graphics interface that runs within MATLAB. The introduction here is more conceptual than functional for two reasons. One, the Simulink interface design is very intuitive and you may not need help at all ... 

Enter the block diagram logic graphically using SIMULINK or program them into a simulation language such as MATLAB or SYSQUAKE... 

Execution of the scripts shown in Fig. 11.5 and in Fig. 11.6 in the form of. m files leads to a solution that will produce the same graphical results as using the SIMULINK approach. The main difference here obviously is the amount of programming in logical order which needs to take place in order to obtain the simulation in MATLAB. Using this procedure one can plot the same results as in Fig. 11.4. 

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