64 research outputs found
Beyond Nyquist in Frequency Response Function Identification:Applied to Slow-Sampled Systems
Fast-sampled models are essential for control design, e.g., to address intersample behavior. The aim of this letter is to develop a non-parametric identification technique for fast-sampled models of systems that have relevant dynamics and actuation above the Nyquist frequency of the sensor, such as vision-in-the-loop systems. The developed method assumes smoothness of the frequency response function, which allows to disentangle aliased components through local models over multiple frequency bands. The method identifies fast-sampled models of slowly-sampled systems accurately in a single identification experiment. Finally, an experimental example demonstrates the effectiveness of the technique.</p
Nicotinamide N-Methyl Transferase (NNMT): an emerging therapeutic target
Microbial Biotechnolog
Synthetic studies with bacitracin A and preparation of analogues containing alternative zinc binding groups
Microbial Biotechnolog
Mechanistic investigations of metallo-β-lactamase inhibitors: strong zinc binding is not required for potent enzyme inhibition
Microbial Biotechnolog
Cephalosporin prodrug inhibitors overcome metallo-β-lactamase driven antibiotic resistance
Microbial Biotechnolog
Structural studies provide new insights into the role of lysine acetylation on substrate recognition by CARM1 and inform the design of potent peptidomimetic inhibitors
Microbial Biotechnolog
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