Systems models are built to support high level architectural design and medium fidelity component design to solve system level sizing problems and design control system architectures. In order to do so, it makes use of two fundamental paradigms: a declarative acausal paradigm to design plant models, often used to represent realistic physical components, and causal components, which are used to define control systems.
In this webinar we cover the use cases for both causal and acausal paradigms, the advantages of both, and how they can co-exist in the Dyad modeling environment
