Model-Based Engineering for Complex Electronic Systems

Chapter 9

Fast Analog Modeling

9.1 Introduction

As has been described previously in this book, there are two major categories of modeling for complex electronic systems: event-based or conserved equations. For the former approach, the signals are defined using states, with events triggering state changes, where time is discrete (although the values can be continuous – even floating point or real). In the latter, the models are defined using floating point, differential, algebraic equations requiring algorithms, such as Newton-Raphson or similar, to obtain a solution. In most cases the event-based simulations are significantly faster than the conserved system equivalent, as we shall see in this chapter.

In addition, there are a number of other techniques ...