This paper describes a modeling methodology to support the design process of complex systems. The main challenge in modern industrial applications is the sheer volume of data involved in the design process. While using high-level abstraction is necessary to manage this data and analyze the system “as a whole”, designers need also to retain all the lowlevel information of the system, in order to be able to perform optimizations and modifications at later times. The solution proposed here is to use a hierarchy of models, each one describing the system at different levels of abstraction, and arrange them in such a way that it is possible to easily “map” each level onto the others. The topmost layer of the system description is expressed in System Modeling Language (SysML), a generalpurpose modeling language based on UML

The purpose of this paper is to show how the Mindlin model of a plate can be fruitfully described within the framework of distributed port Hamiltonian systems (dpH systems) so that rather simple and elegant considerations can be drawn regarding both the modeling and control of this mechanical system. Once the distributed port Hamiltonian (dpH) model of the plate is introduced, a simple boundary or distributed control methodology based on damping injection is discussed.

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