Abstract
SummaryA recursive smoothing filter employing a bank of fading‐memory polynomial sub‐filters is presented. Variance estimates are used to mix the outputs of the sub‐filters, imparting variable gain and phase characteristics that permit it to automatically adapt to signal parameter changes. The proposed adaptive technique does not involve the estimation of plant parameters; therefore, it may be used in both open‐loop and closed‐loop configurations. In open‐loop estimation problems, variable gain/bandwidth allows it to reduce the impact of random errors caused by sensor noise and the impact of bias errors caused by model mismatch during ‘maneuvers’. In feedback control problems, variable phase/delay allows it to act as a lag filter for an improved steady‐state response (i.e. greater noise attenuation) and act as a lead filter, or a proportional‐derivative controller, for an improved transient response (i.e. increased closed‐loop damping) for input discontinuities. Copyright © 2015 John Wiley & Sons, Ltd.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Adaptive Control and Signal Processing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
