2020/08/26 by Resmi Suresh, Raghunathan Rengaswamy, Suresh, Resmi +1
Computer Science · Engineering · #Advanced Battery Technologies Research #FOS: Electrical engineering #Fault Detection and Control Systems #Hydraulic and Pneumatic Systems #Systems and Control (eess.SY) #cs.SY #eess.SY #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2008.11393
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openalex publication_date 2020/08/26 · arxiv created 2021/03/19 · arxiv updated 2021/03/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Hundreds of applications utilize frequency response characterization of a system. Identification of frequency response requires long experimentation time, use of transformation techniques and other difficulties associated with isolating the system behavior precisely at individual frequencies. In this work, we report a hitherto unknown result that can be leveraged to mitigate these difficulties resulting in a tremendous reduction in the experimentation time. This result has the possibility of revolutionizing how frequency response studies are performed.