Webinar

Introduction to Acausal Modeling with Dyad

Webinar

Introduction to Acausal Modeling with Dyad

Event Date & Time

EDT

Speakers

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Event Date & Time

EDT

Speakers

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This webinar will discuss acausal modeling in Dyad. The material is targetted toward beginners who have some experience with modeling of physical systems but want to understand the advantages that acausal modeling and Dyad provide. We will walk through simple electrical and mechanical component and system models.

We will discuss how acausal modeling compares to using ordinary block diagrams (and how both paradigms can be seamlessly leveraged in Dyad).

Finally, we will show how acausal modeling removes many tedious, time consuming and error prone tasks from the model development process.

Speakers

Dr. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.

Speakers

Dr. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.

Speakers

Dr. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.

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Introduction to Acausal Modeling with Dyad