Results 91 to 100 of about 162,419 (260)

PSO Optimized PID Regulator for a Variable Frequency Brushless Synchronous Generator

open access: yesAdvances in Electrical and Electronic Engineering, 2018
The aim of this paper is to describe development of a new control structure for Automatic Voltage Regulator system. This approach is based on the optimization of the control voltage magnitude of a brushless excitation synchronous alternator machine ...
Hassen Smail   +3 more
doaj   +1 more source

Self‐assembly and Lateral Cobalt Coordination of a Fivefold Symmetric Cyanostar Macrocycle on an Au(111) Surface

open access: yesChemistry – A European Journal, EarlyView.
Herein, we report the first example of the formation of a close‐packed, regular 2D monolayer of a fivefold symmetric cyanostar macrocycle on an Au(111) surface under ultra‐high vacuum and the structural modification of such self‐assembled architecture upon cobalt atom deposition.
Lenka Černá   +11 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao   +2 more
wiley   +1 more source

PSO-DARP-QL

open access: yes, 2023
Codigo fuente algoritmo PSO para problema Dial-a ...
openaire   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

A benchmark study on identification of inelastic parameters based on deep drawing processes using pso – nelder mead hybrid approach [PDF]

open access: yes, 2013
Optimization techniques have been increasingly used to identification of inelastic material parameters owing to their generality. Development of robust techniques to solving this class of inverse problems has been a challenge to researchers mainly due to
Bertoti, E.   +4 more
core  

A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems

open access: yes, 2010
This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED).
Al-Othman, A. K.   +2 more
core   +1 more source

Three-dimensional Gravity Model of the southern Jordan Dead Sea Transform [PDF]

open access: yesمجلة جامعة النجاح للأبحاث العلوم الطبيعية, 2005
Radwan El-Kelani
doaj   +1 more source

Energy Flow Management in a Smart Microgrid Based on Photovoltaic Energy Supplying Multiple Loads

open access: yesJournal of Sustainable Development of Energy, Water and Environment Systems
Decentralized electricity production solutions based on renewable energies are increasingly used in Africa to promote the social inclusion of the population in rural areas.
Kanlou Zandjina Dadjiogou   +2 more
doaj   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

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