ABSTRACT
Control design problems generally involve real world nonlinear plants. In utilizing control system design techniques, which require linear plant models, it is necessary that assumptions be made that allow simplification of these nonlinear plants, i.e., "assume linear behavior" that result in obtaining linear plant models. Thus, it is important for the designer to follow a design and implementation process that allows the testing of the assumptions as early in the process as possible so the control system can be redesigned, for example, to take into account unmodeled effects. As described in Chapter 1 and detailed later in this chapter, the control design process should include simulation of the control system on increasingly realistic models which helps transition to implementation on real world applications.
