Resonator-Based Nonparametric Identification of Linear Systems

Sujbert, László; Peceli, G.; Simon, Gyula

doi:10.1109/tim.2004.840244

Cited by 9 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the expense of slower convergence, the α N parameter in (2.10) can be used to control the bandwidth of the resonator channels. As shown in figure 3, this can ensure an appropriate frequency selectivity, without impacting on the stability of the processing, while reducing noise in the acquisition [18]. We then turned some of the individual resonator positions into resonator triplets.…”

Section: Tailoring the Fourier Analyzer To The Applicationmentioning

confidence: 99%

Vibration damping with negative capacitance shunts: theory and experiment

Marneffe

Preumont

2008

Smart Mater. Struct.

138

124

View full text Add to dashboard Cite

The novel frequency adaptation scheme is based on the adaptive Fourier analyzer suggested by Nagy. The frequency adaptation method was elaborated with a view to realizing a detector connectivity check on an FPGA in a new beam loss monitoring (BLM) system, currently being developed for beam setup and machine protection of the particle accelerators at the European Organisation for Nuclear Research (CERN). The paper summarizes the Fourier analyzer to the extent relevant to this work and the basic principle of the related frequency adaptation methods. It then outlines the suggested new scheme, presents practical considerations for implementing it and underpins it with an example and the corresponding operational experience. K : Control and monitor systems online; Data processing methods; Detector control systems (detector and experiment monitoring and slow-control systems, architecture, hardware, algorithms, databases); Digital signal processing (DSP)

show abstract

Section: Tailoring the Fourier Analyzer To The Applicationmentioning

confidence: 99%

Vibration damping with negative capacitance shunts: theory and experiment

Marneffe

Preumont

2008

Smart Mater. Struct.

138

124

View full text Add to dashboard Cite

show abstract

“…For β small enough (which is usually granted in practical cases) the RBO is able to work over an arbitrary frequency set with similar convergence characteristics [6]. The "rows" in Fig.…”

Section: B Resonator-based Observermentioning

confidence: 99%

“…If 0 < α < 1, the Fourier coefficient estimates are exponentially averaged [6] with an equivalent time constant of…”

Section: B Resonator-based Observermentioning

confidence: 99%

Improving the Convergence Speed of the Resonator-Based Observer by Significant Component Selection

Palkó¹,

Sujbert²

2023

Proceedings of the 30th Minisymposium

View full text Add to dashboard Cite

The resonator-based observer has been developed for measuring the harmonic components of a periodic signal with known fundamental frequency. In certain applications, the signal to be processed is sparse in the frequency domain: a subset of its harmonic components have negligible amplitude. This paper presents some extensions of the resonator-based observer which can exploit this sparsity to speed up the convergence. The performance of the proposed structures is demonstrated by simulation examples.

show abstract

“…This structure is highly stable and insensitive to numerical precision errors due to its control feedback loop [14]. Moreover, its added benefit is that it can be used efficiently for various applications, such as frequency estimation [15], [16], system identification [17] or digital filtering [13]. The disadvantage of this structure is that all the frequency bins -not just the ones of interest -must be calculated, as an observer first deconstructs the signal then reconstructs an estimation which is also used for the global control feedback loop.…”

Section: Introductionmentioning

confidence: 99%

FPGA Realization of the Observer-Based Sliding Discrete Fourier Transform

2022

View full text Add to dashboard Cite

Discrete Fourier transform (DFT) is a widely used method of signal analysis in digital signal processing. The DFT converts a signal from time domain to frequency domain for further processing. For fixed-size sliding window applications of the DFT, the observer-based sliding DFT (oSDFT) algorithm has been shown to be stable, accurate, and theoretically faster, than the well-known block-oriented fast Fourier transforms (FFT). However, no hardware implementation of the oSDFT has been proposed yet. In this paper, a hardware optimized implementation of two variants of the algorithm for FPGA is presented. Such implementation is compared with the Xilinx FFT Intellectual Property in terms of processing speed and hardware requirements. The structure is implemented in Verilog HDL using Vivado IDE, with the aim of maximizing the processing speed and minimizing the required hardware resources. The analysis of the FPGA-based oSDFT and FFT circuits in a sample-by-sample processing scenario, reveals, that the latency and energy usage of the oSDFT are smaller relative to the FFT. The latency and energy usage per sample processed of the implemented structures are up to 9 and 10 times lower than those of FFT respectively. The required resources for these methods are also presented and analyzed.

show abstract

Resonator-Based Nonparametric Identification of Linear Systems

Cited by 9 publications

References 7 publications

Vibration damping with negative capacitance shunts: theory and experiment

Vibration damping with negative capacitance shunts: theory and experiment

Improving the Convergence Speed of the Resonator-Based Observer by Significant Component Selection

FPGA Realization of the Observer-Based Sliding Discrete Fourier Transform

Contact Info

Product

Resources

About