[HTML][HTML] Quantile-based fuzzy clustering of multivariate time series in the frequency domain

Á López-Oriona, JA Vilar, P D'Urso - Fuzzy Sets and Systems, 2022 - Elsevier
A novel procedure to perform fuzzy clustering of multivariate time series generated from
different dependence models is proposed. Different amounts of dissimilarity between the …

Implementation and development of a trajectory tracking control system for intelligent vehicle

J Cai, H Jiang, L Chen, J Liu, Y Cai, J Wang - Journal of Intelligent & …, 2019 - Springer
In this paper, a trajectory tracking control system, which consists of a model predictive
control unit and an active safety steering control unit, has been developed. A nonlinear …

An IoT expert system shell in block-chain technology with ELM as inference engine

R Carreño, V Aguilar, D Pacheco… - … Journal of Information …, 2019 - World Scientific
Knowledge society blockchain is one of the most powerful and recent tools to make the
internet environment safer and reliable. Manufacturing has traditionally been dominated by …

Data-driven hybrid beamforming for uplink multi-user MIMO in mobile millimeter-wave systems

Y Ma, S Ren, Z Quan, Z Feng - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
To enable user diversity while balancing tradeoffs between cost and flexibility, we exploit
hybrid analog-digital beamforming for multi-user mobile systems. By combining array and …

Internet of things expert system for smart cities using the blockchain technology

RC Aguilera, MP Ortiz, JP Ortiz, AA Banda - Fractals, 2021 - World Scientific
Blockchain technology apparently is a trivial innovation, but this technology has attracted
huge investors in a very short period compared to other technologies, and it is still having a …

Impact of the Noise on the Emulated Grid Voltage Signal in Hardware-in-the-Loop Used in Power Converters

P Lamo, GA Ruiz, FJ Azcondo, A Pigazo, C Brañas - Electronics, 2023 - mdpi.com
This work evaluates the impact of the input voltage noise on a Hardware-In-the-Loop (HIL)
system used in the emulation of power converters. A poor signal-to-noise ratio (SNR) can …

Parameterized convergence bounds for Volterra series expansion of NARX models

Z Xiao, X Jing, L Cheng - IEEE transactions on signal …, 2013 - ieeexplore.ieee.org
Evaluation of the convergence bound in the frequency domain for Volterra series expansion
of nonlinear systems described by NARX models is studied. This provides new convergence …

[HTML][HTML] A nonlinear autoregressive scheme for time series prediction via artificial neural networks

R Raturi, H Sargsyan - Journal of Computer and Communications, 2018 - scirp.org
This article is devoted to a time series prediction scheme involving the nonlinear
autoregressive algorithm and its applications. The scheme is implemented by means of an …

Inferential framework for nonstationary dynamics. II. Application to a model of physiological signaling

A Duggento, DG Luchinsky, VN Smelyanskiy… - Physical Review E …, 2008 - APS
The problem of how to reconstruct the parameters of a stochastic nonlinear dynamical
system when they are time-varying is considered in the context of online decoding of …

Comparative analysis on nonlinear models for ron gasoline blending using neural networks

RC Aguilera, W Yu, JCT RODRÍGUEZ… - Fractals, 2017 - World Scientific
The blending process always being a nonlinear process is difficult to modeling, since it may
change significantly depending on the components and the process variables of each …