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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces the state-space representation of systems, focusing on the basics of state variables and their importance in system analysis. The instructor covers methods for transforming a system from transfer function to state-space representation, showcasing different forms such as modal, controllable canonical, and observable canonical representations. The lecture also delves into similar transformations, highlighting the concept of multiple representations for a system and the role of non-singular transformations in generating new state-space models. The importance of controllability and observability in system analysis is briefly mentioned, setting the stage for further exploration in the next lecture.