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Electrical and Computer Engineering Commons

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Boise State University

Theses/Dissertations

2022

Machine learning

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Full-Text Articles in Electrical and Computer Engineering

Data-Driven Passivity-Based Control Of Underactuated Robotic Systems, Wankun Sirichotiyakul Aug 2022

Data-Driven Passivity-Based Control Of Underactuated Robotic Systems, Wankun Sirichotiyakul

Boise State University Theses and Dissertations

Classical control strategies for robotic systems are based on the idea that feedback control can be used to override the natural dynamics of the machines. Passivity-based control (Pbc) is a branch of nonlinear control theory that follows a similar approach, where the natural dynamics is modified based on the overall energy of the system. This method involves transforming a nonlinear control system, through a suitable control input, into another fictitious system that has desirable stability characteristics. The majority of Pbc techniques require the discovery of a reasonable storage function, which acts as a Lyapunov function candidate that can be …


Process-Property Linkages Construction For Inkjet Printing With Machine Learning, Fataneh Jenabi Aug 2022

Process-Property Linkages Construction For Inkjet Printing With Machine Learning, Fataneh Jenabi

Boise State University Theses and Dissertations

Printed electronics are emerging technologies that can potentially revolutionize the manufacturing of electronic devices. One promising technology for printed electronics is inkjet printing. Inkjet printing offers both low-cost processing and high resolution. Being a subset of additive manufacturing, inkjet printing minimizes waste and is compatible with a wide range of inks. However, inkjet printing of electronic devices is still in its infancy. One major challenge for inkjet printing is the complexity of the process optimization and uncertain high throughput production. To achieve a high-quality print, there is a complex parameter space of materials and processing parameters that needs to be …