Cargando…

Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems

Control loop performance assessment (CPA) is essential in the operation of industrial systems. In this paper, the shortcomings of existing performance assessment methods and indicators are summarized firstly, and a novel evaluation method based on generalized correntropy criterion (GCC) is proposed...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Jinfang, Huang, Guodou, Zhang, Li
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234946/ https://www.ncbi.nlm.nih.gov/pubmed/34204346 http://dx.doi.org/10.3390/e23060764

Ejemplares similares

Performance Assessment of Non-Gaussian Control Systems Based on Mixture Correntropy
por: Zhang, Jinfang, et al.
Publicado: (2019)

Diffusion Maximum Correntropy Criterion Based Robust Spectrum Sensing in Non-Gaussian Noise Environments
por: Xu, Xiguang, et al.
Publicado: (2018)

Adaptive Pressure Control System Based on the Maximum Correntropy Criterion
por: Flores, Thommas Kevin Sales, et al.
Publicado: (2021)

Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise
por: Leite, Glauber Rodrigues, et al.
Publicado: (2023)

Adaptive Maximum Correntropy Gaussian Filter Based on Variational Bayes
por: Wang, Guoqing, et al.
Publicado: (2018)

Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion
por: Yue, Pengcheng, et al.
Publicado: (2020)

Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion
por: Wang, Baobin, et al.
Publicado: (2019)

Robust Deep Network with Maximum Correntropy Criterion for Seizure Detection
por: Qi, Yu, et al.
Publicado: (2014)

Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm
por: Zhao, Ji, et al.
Publicado: (2022)

Frequency domain maximum correntropy criterion spline adaptive filtering
por: Guo, Wenyan, et al.
Publicado: (2021)

Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion
por: Zhang, Xuetao, et al.
Publicado: (2018)

Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise
por: Li, Xuyou, et al.
Publicado: (2022)

Electricity Consumption Forecasting Scheme via Improved LSSVM with Maximum Correntropy Criterion
por: Duan, Jiandong, et al.
Publicado: (2018)

Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion
por: Deng, Zhihong, et al.
Publicado: (2018)

Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion
por: Duan, Jiandong, et al.
Publicado: (2019)

Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input
por: Ma, Wentao, et al.
Publicado: (2018)

Correntropy Based Matrix Completion
por: Yang, Yuning, et al.
Publicado: (2018)

Student’s t-Kernel-Based Maximum Correntropy Kalman Filter
por: Huang, Hongliang, et al.
Publicado: (2022)

Steering Witness and Steering Criterion of Gaussian States
por: Ma, Ruifen, et al.
Publicado: (2021)

Generalized Maximum Complex Correntropy Augmented Adaptive IIR Filtering
por: Zheng, Haotian, et al.
Publicado: (2022)

Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
por: He, Kan, et al.
Publicado: (2019)

Robust large-scale clustering based on correntropy
por: Jin, Guodong, et al.
Publicado: (2022)

Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy
por: Zhou, Jinglin, et al.
Publicado: (2018)

A stochastic T cell response criterion
por: Currie, James, et al.
Publicado: (2012)

Non-negative matrix factorization by maximizing correntropy for cancer clustering
por: Wang, Jim Jing-Yan, et al.
Publicado: (2013)

Correntropy Based Divided Difference Filtering for the Positioning of Ships
por: Liu, Xi, et al.
Publicado: (2018)

An algorithm to simulate nonstationary and non-Gaussian stochastic processes
por: Hong, H. P., et al.
Publicado: (2021)

Evolved-Cooperative Correntropy-Based Extreme Learning Machine for Robust Prediction
por: Mei, Wenjuan, et al.
Publicado: (2019)

A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with Continuous Non-Gaussian Filters
por: Śliwka, Piotr, et al.
Publicado: (2020)

Probing non-Gaussian Stochastic Gravitational Wave Backgrounds with LISA
por: Bartolo, Nicola, et al.
Publicado: (2018)

Partial maximum correntropy regression for robust electrocorticography decoding
por: Li, Yuanhao, et al.
Publicado: (2023)

Adaptive Extended Kalman Filter with Correntropy Loss for Robust Power System State Estimation
por: Zhang, Zhiyu, et al.
Publicado: (2019)

Generalized energy failure criterion
por: Qu, R. T., et al.
Publicado: (2016)

A Smoothed Algorithm with Convergence Analysis under Generalized Maximum Correntropy Criteria in Impulsive Interference
por: Qu, Hua, et al.
Publicado: (2019)

Underwater Vehicle Positioning by Correntropy-Based Fuzzy Multi-Sensor Fusion
por: Shaukat, Nabil, et al.
Publicado: (2021)

Stable non-Gaussian random processes: stochastic models with infinite variance
por: Samoradnitsky, Gennady, et al.
Publicado: (1994)

Video Synchronization With Bit-Rate Signals and Correntropy Function
por: Pereira, Igor, et al.
Publicado: (2017)

Stochastic analysis of mixed fractional Gaussian processes
por: Mishura, Yuliya, et al.
Publicado: (2018)

Correntropy-Induced Discriminative Nonnegative Sparse Coding for Robust Palmprint Recognition
por: Jing, Kunlei, et al.
Publicado: (2020)

A Correntropy-Based Proportionate Affine Projection Algorithm for Estimating Sparse Channels with Impulsive Noise
por: Jiang, Zhengxiong, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_v6bb3r2b71uk7mjlt1gkqjmemt