2019
DOI: 10.1109/tte.2019.2909687
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Model Predictive Control for Electrochemical Impedance Spectroscopy Measurement of Fuel Cells Based on Neural Network Optimization

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Cited by 26 publications
(10 citation statements)
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“…Low-cost implementations use MCU internal SAR ADCs [157,292,300,301,304] in most cases. For more performant systems, with an accuracy of >12 bit, standalone SAR or delta-sigma ADCs are employed typically [296,299,[311][312][313].…”
Section: Impedancementioning
confidence: 99%
See 1 more Smart Citation
“…Low-cost implementations use MCU internal SAR ADCs [157,292,300,301,304] in most cases. For more performant systems, with an accuracy of >12 bit, standalone SAR or delta-sigma ADCs are employed typically [296,299,[311][312][313].…”
Section: Impedancementioning
confidence: 99%
“…Before transformation of the acquired data to the frequency domain, preprocessing is performed. Preprocessing steps may include, for example, digital filtering [268,290,314], gain and offset compensation [290,292], segmentation [112,315], windowing [112,306,307,316], zeropadding [308], and down sampling [293,296,312]. Potential uses of digital filtering include HPFs to remove low frequency components [290] and compensate for drift [314], Bandpass Filters (BPFs) as preparation for correlation based postprocessing [268] as well as decimation filters for down sampling [293,296].…”
Section: Impedancementioning
confidence: 99%
“…(2SA) In this section, we give a novel category strategy for different commonly used algorithms including GA, particle swarm [25], tabu search [16], [26] and artificial neural network (ANN) [18], [19], [23], [24], Bayesian network [27], support vector machine (SVM) [20] etc. Based on this strategy, the relations (x-to-o) between inputs (x 1 , x 2 ...) and outputs (o 1 , o 2 ...) in algorithm categories can be simply described and compared.…”
Section: Search Algorithm and Surrogate Algorithmmentioning
confidence: 99%
“…Then, the target LC filter optimization problem (MOOP) is studied based on an established inverter-based EMA system [4] using a search algorithm, genetic algorithm (GA) [16], [17], [22], which is similar to the algorithm used in [3]. Furthermore, machine learning (ML) algorithms are explored as the surrogate algorithms for the same MOOP and there are two data-driven modes: classification [20], [21] and fitting [18], [19], [23], [24]. This paper uses both modes to demonstrate the surrogate algorithm and proposes a ML structure for the target MOOP which can be generally used in any discipline.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there is an increasing interest in the application of Field Programmable Gate Array (FPGA) on computational acceleration (Tu et al (2019); Zhang et al (2019); Kosan et al (2018); Lucia et al (2018)). This is mainly due to its special hardware architecture, which is completely different from CPU.…”
Section: Introductionmentioning
confidence: 99%