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个人简介
Professor Alleyne’s research addresses a range of issues within controls utilizing a balance between theory and application. He has investigated advances in motion control utilizing Iterative Learning Control (ILC) and produced some of the highest precision motion algorithms. These include the formalization of design rules for optimization of feedforward trajectories in ILC. Additionally, he developed the concept of primitives or basis functions for ILC to circumvent limitations in computation that hindered other algorithms. These have found many applications in practice, primarily in the manufacturing area. He developed the mechatronic platform and process control for an electro-hydrodynamic jet printing technique that allowed for precise material placement with orders of magnitude better resolution than the state of the art additive manufacturing approaches. He also utilized his techniques for filament-based additive fabrication of ceramics and metals for biomedical and power electronic applications.
研究兴趣
论文共 444 篇作者统计合作学者相似作者
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JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASMEno. 1 (2024): 1-50
CCTApp.918-925, (2023)
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Biomedical Engineering Educationno. 2 (2023): 253-266
CCTApp.948-954, (2023)
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2022 American Control Conference (ACC)pp.3985-3990, (2022)
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AIAA AVIATION 2022 Forum (2022)
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