Results 31 to 40 of about 192,666 (197)

Nonlinear Innovation-Based Maneuverability Prediction for Marine Vehicles Using an Improved Forgetting Mechanism

Journal of Marine Science and Engineering, 2022
This paper carries out marine vehicle maneuverability prediction based on nonlinear innovation. An improved Extended Kalman Filter (EKF) algorithm combined with a forgetting factor is developed by virtue of nonlinear innovation for ship maneuverability ...
Chunyu Song, Xianku Zhang, Guoqing Zhang
doaj   +1 more source

Lithium battery parameter identification and SOC estimation based on dual-polarized model [PDF]

E3S Web of Conferences, 2021
An equivalent circuit model of dual polarization (DP) of lithium battery was established according to the application characteristics of lithium battery under the standby condition of 5G base station.
Xia Hui, Li Changlei, Xu Yusang, Liu Xuehong   +3 more
doaj   +1 more source

Long-term learning behavior in a recurrent neural network for sound recognition [PDF]

, 2014
In this paper, the long-term learning properties of an artificial neural network model, designed for sound recognition and computational auditory scene analysis in general, are investigated. The model is designed to run for long periods of time (weeks to
Boes, Michiel, Botteldooren, Dick, De Coensel, Bert, Oldoni, Damiano   +3 more
core   +1 more source

Data-driven Model Predictive Control with Matrix Forgetting Factor

IFAC-PapersOnLine, 2023
In this paper, a model predictive control (MPC) based on the Koopman operator framework is presented. This framework, allows to obtain a model solely from data. Moreover, it can be easily updated using a recursive least squares (RLS) approach. This aids the controller to deal with inaccuracies in the model parameters.
Martínez Calderón, Horacio, Schulz, Erik, Oehlschlägel, Thimo, Werner, Herbert   +3 more
openaire   +1 more source

A State Space Modeling Method for Aero-Engine Based on AFOS-ELM

Energies, 2022
State space models (SSMs) are important for multi-variable performance analysis and controller design of aero-engines. In order to solve the problems of the traditional state space modeling methods that rely on component-level models (CLMs) and cannot be
Hongyi Chen, Qiuhong Li, Shuwei Pang, Wenxiang Zhou   +3 more
doaj   +1 more source

Extended state observer based adaptive iterative trajectory tracking control of a two-jointed robotic arm

Journal of Applied Science and Engineering
In order to minimize the effects of inner ambiguity and outer disturbance of the robotic arm model on the controlled system and to enhance the iterative performance, the paper designs an adaptive iterative control (AILC) method with forgetting factor ...
Xin Zhang, Wentao Lu
doaj   +1 more source

A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares

Energies, 2018
For model-based state of charge (SOC) estimation methods, the battery model parameters change with temperature, SOC, and so forth, causing the estimation error to increase.
Zizhou Lao, Bizhong Xia, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang   +5 more
doaj   +1 more source

Factors Affecting the Development of Workforce Versatility [PDF]

, 2012
Among all strategies supporting the firms' flexibility and agility, the development of human resources versatility holds a promising place. This article presents an investigation of the factors affecting the development of this flexibility lever, related
Attia, Bailey, Carlson, Corominas, Dam, Dar-El, Drezet, Démery-Lebrun, Eitzen, Franchini, Globerson, Globerson, Heimerl, Hitt, Jaber, Jaber, Kher, Li, Nembhard, Sayin, Wright, Yang, Yelle   +22 more
core   +2 more sources

Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks

EURASIP Journal on Advances in Signal Processing, 2017
In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for distributed parameter and spectrum estimation in ...
Ling Zhang, Yunlong Cai, Chunguang Li, Rodrigo C. de Lamare   +3 more
doaj   +1 more source

A New State-Regularized QRRLS Algorithm with Variable Forgetting Factor [PDF]

, 2012
published_or_final_versio
Chan, SC, Chu, YJ
core   +1 more source