StateSpace Models

This chapter introduces state-space models for describing system dynamics. State-space models provide a scalable approach to modeling MIMO systems - those with multiple inputs and outputs. We define for state-space models many of the familiar concepts from transfer function modeling, such as poles and transfer functions. Further, it is shown how many of the techniques and results covered in earlier chapters can apply to state-space models as well, such as stability and dominant pole analysis. The concepts of controllability and observability, which are unique to state-space models are presented.