Control is one of the most broadly applicable modern engineering methodologies. Researchers in virtually all of the engineering disciplines apply its techniques to realize increasingly complex engineering systems. Nevertheless, from a very practical perspective, it is often challenging to develop an effective research regimen that includes an advanced theoretical and algorithm framework and real-world implementation.
Quanser offers a highly efficient platform for bridging this theory-implementation gap, allowing to adopt a framework of hardware in the loop (HIL) implementation of the control system that integrates a physical system (the plant) with dynamics of sufficient realism for physically relevant testing, and a real-time computational and modeling framework that allows for rapid testing of algorithms and concepts. Using such a combination, researchers can readily validate their research concepts with a physical system.
This whitepaper presents an overview of theoretical and applied research topics from various institutions that have deployed the Quanser platform to validate their research concepts.
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