[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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
change significantly depending on the components and the process variables of each …