Design Intelligent Control Based on Fuzzy Neural Network and GA Algorithm for Prediction and Identification

VT Nguyen, DH Pham, HN Nguyen - Journal of Robotics and …, 2024 - journal.umy.ac.id
Design Intelligent Control Based on Fuzzy Neural Network and GA Algorithm for Prediction and
Identification Page 1 Journal of Robotics and Control (JRC) Volume 5, Issue 4, 2024 ISSN …

Interval type-2 fuzzy computational model for real time Kalman filtering and forecasting of the dynamic spreading behavior of novel Coronavirus 2019

DC dos Santos Gomes, GL de Oliveira Serra - ISA transactions, 2022 - Elsevier
This paper presents a computational model based on interval type-2 fuzzy systems for
analysis and forecasting of COVID-19 dynamic spreading behavior. The proposed …

Centrifugal Navigation-Based Emotion Computation Framework of Bilingual Short Texts with Emoji Symbols

T Yang, Z Liu, Y Lu, J Zhang - Electronics, 2023 - mdpi.com
Heterogeneous corpora including Chinese, English, and emoji symbols are increasing on
platforms. Previous sentiment analysis models are unable to calculate emotional scores of …

Adaptive interval type-2 fuzzy controller for nonlinear networked Wiener systems subject to packet dropout and time-varying delay

AM El-Nagar, TR Khalifa, MA El-Brawany, M El-Bardini… - ISA transactions, 2022 - Elsevier
In this paper, a novel adaptive interval type-2 fuzzy controller (AIT2FC) is proposed for a
class of nonlinear networked Wiener systems under packet dropout and time varying delay …

Estimation of Hammerstein nonlinear systems with noises using filtering and recursive approaches for industrial control

M Zhang, F Li, Y Yu, Q Cao - Frontiers of Information Technology & …, 2024 - Springer
This paper discusses a strategy for estimating Hammerstein nonlinear systems in the
presence of measurement noises for industrial control by applying filtering and recursive …

Nonlinear Dynamic Model-Based Position Control Parameter Optimization Method of Planar Switched Reluctance Motors

SD Huang, Z Lin, GZ Cao, N Liu, H Mou, J Xu - Mathematics, 2023 - mdpi.com
Currently, there are few systematic position control parameter optimization methods for
planar switched reluctance motors (PSRMs); how to effectively optimize the control …

Sustainability evaluation of renewable energy incubators using interval type-II fuzzy AHP-TOPSIS with MEA-MLSSVM

G Liang, D Niu, Y Liang - Sustainability, 2021 - mdpi.com
With the development of renewable energy, renewable energy incubators have emerged
continuously. However, these incubators present a crude development model of low-level …

Identification of Hammerstein Systems with Random Fourier Features and Kernel Risk Sensitive Loss

Y Zheng, S Wang, B Chen - Neural Processing Letters, 2023 - Springer
Identification of Hammerstein systems with polynomial features and mean square error loss
has received a lot of attention due to their simplicity in calculation and solid theoretical …

基于滤波和递推的Hammerstein 非线性系统估计与控制

M ZHANG, F LI, Y YU, Q CAO, AM ZHANG, AF LI… - Frontiers, 2024 - jzus.zju.edu.cn
本文提出一种基于滤波和递推的含测量噪声的Hammerstein 系统参数估计与工业控制方法.
Hammerstein 非线性系统由神经模糊模型和线性状态空间模型组成, 并利用由阶跃信号和随机 …

Comparative vector control study on speed of PMSM drive using sensorless and machine learning techniques

VR Nippatla, S Mandava - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
The main contribution of this review work is to show how various control techniques are
used to manage the speed of Permanent Magnet Synchronous Motor (PMSM). The PMSM's …