An artificial neural network-based approach for the impedance modeling of piezoelectric energy harvesting devices-Reference-Cited by-同舟云学术

An artificial neural network-based approach for the impedance modeling of piezoelectric energy harvesting devices

Published:2018-02-14 Issue:5 Volume:31 Page:e2333
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numer Model

Author:

Zhao Sheng¹^ORCID,Fu Hai-Peng¹^ORCID

Affiliation:

1. School of Microelectronics; Tianjin University; Tianjin 300072 China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modelling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jnm.2333/fullpdf

Reference23 articles.

1. An efficient piezoelectric energy harvesting interface circuit using a bias-flip rectifier and shared inductor;Ramadass;IEEE J Solid-State Circuits,2010

2. Zhao J Ramadass Y Buss D Ma J Microelectronic techniques for frequency tuning of piezo-electric energy harvesting devices 2012 1 4

3. Zhao S Ramadass Y Lang JH Ma J Buss D Bias-flip technique for frequency tuning of piezo-electric energy harvesting devices: experimental verification 2014 1 3

4. Zhao S Paidimarri A Ickes N Araghchini M Lang J Ma J Buss D Extending the bandwidth of piezoelectric energy harvesting through the use of bias flip 2015 1 3

5. Synchronized bias-flip interface circuits for piezoelectric energy harvesting enhancement: a general model and prospects;Liang;J Intell Mater Syst Struct,2016

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