[HTML][HTML] Echo state networks: novel reservoir selection and hyperparameter optimization model for time series forecasting
The use of computational intelligence models for multi-step time series forecasting tasks has
presented satisfactory results in such a way that they are considered models with an …
presented satisfactory results in such a way that they are considered models with an …
Machine learning controller for data rate management in science DMZ networks
This article presents a Machine Learning Controller (MLC) supported by a P4 switch for
improving rate control in non-dedicated Science Demilitarized Zone (Science DMZ) …
improving rate control in non-dedicated Science Demilitarized Zone (Science DMZ) …
Design of a Type Two Fuzzy-based system to Control the Pitch Rate of the Cessna Citation X
View Video Presentation: https://doi. org/10.2514/6.2023-3802. vid In this research, a novel
control methodology developed at the Laboratory of Applied Research in Active Controls …
control methodology developed at the Laboratory of Applied Research in Active Controls …
Design and implementation of a machine-learning observer for sensorless PMSM drive control
Information about rotor positions is critical when controlling a permanent-magnet
synchronous motor (PMSM). This information can be gathered using a sensor or through an …
synchronous motor (PMSM). This information can be gathered using a sensor or through an …
Analytical design of optimal fractional order pid control for industrial robot based on digital twin
X Liu, Y Luo - 2022 IEEE 2nd International Conference on …, 2022 - ieeexplore.ieee.org
This paper proposes a fractional order PID analytical design framework for industrial robot
based on digital twin. The effectiveness of the digital twin real-time optimization framework is …
based on digital twin. The effectiveness of the digital twin real-time optimization framework is …
Model-referenced Adaptive Flight Controller based on Recurrent Neural Network for the Longitudinal Motion of Cessna Citation X
View Video Presentation: https://doi. org/10.2514/6.2023-3797. vid This paper presents a
methodology developed at the Laboratory of Applied Research in Active Controls, Avionics …
methodology developed at the Laboratory of Applied Research in Active Controls, Avionics …
TEC forecasting using optimized variational mode decomposition and elman neural networks
Forecasting the ionosphere layer's total electronic content (TEC) is crucial for its impact on
satellite signals and global positioning systems (GPS) and the ability to predict earthquakes …
satellite signals and global positioning systems (GPS) and the ability to predict earthquakes …
Modelos de Predicción de Radiación Solar y Temperatura Ambiente mediante Redes Neuronales Recurrentes
RES El objetivo de este estudio es comparar dos arquitecturas de redes neuronales
recurrentes de Elman y Jordan (RNRE y RNRJ), enfocadas en predicción de dos días de …
recurrentes de Elman y Jordan (RNRE y RNRJ), enfocadas en predicción de dos días de …
Altitude and attitude control of a quadcopter based on neuro-fuzzy controller
In this paper, a 6-degrees of freedom (DoF) nonlinear dynamic model of the quadcopter is
derived and a robust altitude and attitude control is proposed. The motion control is …
derived and a robust altitude and attitude control is proposed. The motion control is …
A Novel Adaptive Learning Systems for Type-2 Fuzzy Controller Based on Elman Neural Network
MT Nguyen, TL Le - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
Although its advantages of handling input uncertainties and noises, Type-2 Fuzzy controller
faces the challenge of the trial-and-error process for evaluating so many control parameters …
faces the challenge of the trial-and-error process for evaluating so many control parameters …