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International Journal of Advanced Control and System Engineering Cover

International Journal of Advanced Control and System Engineering

E-ISSN: 3049-1452 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Advanced Control and System Engineering International Journal of Advanced Control and System Engineering is a peer-reviewed online journal launched in 2015 that publishes original research articles and review papers, experimentally and theoretically. Papers published in this journal cover all major topics under automatic control systems including embedded control systems, real-time systems, and digital and analog control.

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Journal Information

Title: International Journal of Advanced Control and System Engineering
Abbreviation: ijacse
Issues Per Year: 2 Issues
E-ISSN: 3049-1452
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJACSE
Starting Year: 2023
Subject: Engineering
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ijacse maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. D.K. Chaturvedi, Professor

Dayalbagh Educational Institute, Uttar Pradesh, India,

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Latest Articles

Ahead of Print

Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions

This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor.

Deep learning, torque ripple, nonlinear magnetic condition, motor control, neural network, adaptive control.

Comparative Analysis of P, PI, and PID Controllers Based on Time Domain Specifications

In this research, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers utilized in control systems are thoroughly compared.

P Controller, PI Controller, PID Controller, Time Domain Analysis, Control Systems, Stability

Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging

The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions.

Wireless Power Transfer (WPT); Deep Reinforcement Learning; Dynamic Electric Vehicle Charging; Resonant Power Converter; Adaptive Control; Coil Misalignment Compensation.

Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach

The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids.

Distributed Energy Resources (DERs), Energy Storage Systems (ESS), Smart Grid, Sine Whale Optimization Algorithm (SWOA), Modified Spiking Neural Network (MSNN), Renewable Energy Integration, Intelligent Energy Management, Optimization Algorithms

Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles

As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance.

Battery, Supercapacitor, Deep Reinforcement Learning, Deep Q-Network, Proximal Policy Optimization, Hybrid Energy Storage Systems.

Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks

This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise.

Coupled Lorenz oscillators, Mean field coupling, Synchronization, De synchronization, Clustered states, Chaos.