The State Space system is a plug-in that can be installed on your Matlab, allowing you to create and run full-scale simulations with full control over your simulation environment. Additionally, it can create fully automated designs in a matter of minutes.
This particular plug-in also gives you several different plug-ins that are specifically designed for simulation in the current issue of the IDG World Magazine. For those who wish to gain additional information about this particular plug-in, they are provided in the resource box below.
Some resources provided in the Matlab plug-in package include “MATLAB Quick Tips”, an interactive Quick Start Guide, “MATLAB Quick Help”, which provides quick answers to frequently asked questions, “MATLAB Quick Lookup” which allow you to perform a search for MATLAB commands and functions and “MATLAB Basic and Math Help”, which provide links to Quick-lookup and Quick Answer help systems. In addition, there is a free demo version of the State Space Model Control System, which includes the following modules: Model Area, Ground Surface, Gravity System, Global Geometry, Simulate Bodies, Simulate Constraints, Sub-Surface Effects, and Earth Surface.
Other resources available include: Models, Instances, and Sample Files for the Gravity, Model Area, Spatial Numerics, Particle System, and Particle Interaction Module; A few sample videos to demonstrate how to use the Physical Flow Field; Tutorials about the Safety Elements; Solutions for problems that students may encounter; A tutorial that explain the WAV file format, especially for Matlab; An extensive glossary; and A mathematical, geometric, and statistical chart of the Laws of Thermodynamics. Lastly, the Matlab Interface package contains such benefits as: interface designer, Matlab console language, additional interactivity capabilities and functions; a GUI editor, drag and drop capabilities, multiple styles, and an interface builder. Lastly, additional resources are available online.
Other resources include: a matrix store with features like case selection, data conversion, function evaluation, variable substitution, and page transition effects; integration of C++ code to control the output of the Matlab code; a simple manual interface designer for Matlab command prompt; and a matrix to store that support matrix values, source and destination, and data type conversions. Additionally, an option for performance measurement and additional test-case scenarios are included.
Although the Matlab Package was primarily designed for studying thermodynamics, it has been applied successfully to other areas of study including mathematics, chemistry, physics, and biology. In fact, using Matlab’s ability to create time-aware simulations, scientists have been able to create mathematical models of many different biological processes. In this way, they have been able to better understand the effects of their experiments.
In the final analysis, as a student, you should use the model at your convenience. However, do remember that the state space modeling system is the most complex piece of software ever developed for Matlab, and it is highly recommended that you work with it at your earliest convenience.
The Matlab package can be used both for theoretical research and for simulation of complex natural phenomena. If you want to use Matlab as a tool for experiments or for exploratory research, then you should definitely look into getting the system.
The Matrix Store allows you to simulate any number of variables in an interactive environment. When using this piece of software, you can generate a surface mesh, determine physical properties, test numerical and physical constraints, select random points in the simulation, and test dynamics.
Another handy feature of the Matlab Model System is its ability to support global positioning systems (GPS). This particular feature enables you to easily predict where your sensors and probes will go, so that you can use them for further analysis.
To summarize, the state space modeling system for Matlab provides an easy way to create synthetic space simulations that can be run in many different environments. It also makes it easier to simulate different physical systems.