Vectorization blocks for Simulink
Giampiero Campa, Mario Innocenti · 2000
The paper presents two blocks that extend Simulink range of applicability to varying matrices, allowing the user to build (without writing a single line of code) dynamical systems that can be both complex and suitable for real time simulations. First of all, the three common techniques to build dynamical system with Simulink will be presented, showing the advantages and disadvantages of each of them. Then we will explain why (when dealing with complex multivariable systems) neither of the three can be at the same time easy to use and suitable for real time simulations. Two Simulink blocks will then be proposed that solve this problem by allowing varying matrices to be handled directly in the Simulink environment. The aspect, the user interface, and the most important part of the code of these blocks will be discussed, and their use will finally be explained by means of some examples. In particular, we will present an example on how to implement a complex multilayer adaptive neural network using these two blocks.