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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

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.

LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis

The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant.

LQR control; State estimation; Kalman filter; Optimal control; Inverted pendulum; Stability analysis.

A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories

Adequate management of the available resources in communal places like university dorms is important in improving the convenience of the students, and in providing optimal use of these facilities.

schedule laundry pickup, saves waiting time, seamless laundry booking experience, reduces laundry wait times, 24/7 laundry booking, Hostel Students, Convenient for sharing, Student-Friendly Washer, Water-Efficient Washing

Design, Development, and Performance Analysis of an Intelligent IoT-Based Home Automation System

Without a doubt, the incorporation of Internet of Things (IoT) technology into what used to be traditional homes has turned them into smart houses. Appliances are controlled and monitored in the distance.

Home automation systems, Internet of Things; Wireless networks; Smart homes, Embedded systems, Energy management systems .