International Review of Automatic Control
Published by Praise Worthy Prize S.r.l
ISSN : 1974-6059 eISSN : 2533-2260
Abbreviation : Int. Rev. Autom. Control.
Aims & Scope
The International Review of Automatic Control (IREACO) is a peer-reviewed journal that publishes original theoretical and applied papers on all aspects of the Automatic Control.
The topics to be covered include, but are not limited to: Control of linear/nonlinear systems, Stability, Controllability and Observations, Modelling Estimation and Prediction, Real-Time Systems control, Real-Time and Fault-Tolerant Systems, Multidimensional Systems control, Large Scale Control Systems, Robust Control, Intelligent Control Systems; Stochastic Control, Fuzzy Control Systems, Neuro-Controllers, Neuro-Fuzzy Controllers, Genetic Algorithms, Adaptive Control Techniques.
The applications concern control methods, modelling and identification of processes in the fields of industry, ecology, natural resources, comprising physical, biological and organizational systems.
They include but are not limited to: Power System Control, Control of electrical drives, Automotive Control Systems, Control of Power Electronics, Automatic Control of Chemical Processes, Thermal System Control, Robot and Manipulator Control, Aerospace Control Systems, Motion and Navigation Control, Traffic and Transport Control, Defense and Military Systems Control, Nuclear systems control, Control and analysis of Social and Human Systems, Biomedical control systems.
IREACO also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas.
The International Review of Automatic Control (IREACO) currently has an acceptance rate of 34%.
The average time between submission and final decision is 40 days and the average time between acceptance and publication is 22 days.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
---|---|
2024 | 18942 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 105 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.242 |
Quartile
Year | Value |
---|---|
2024 | Q3 |
h-index
Year | Value |
---|---|
2024 | 17 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, Mathematics and Physics and Astronomy, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
-
Optimal PID Tuning for DC Motor Speed Controller Based on Genetic Algorithm
Citation: 27
Authors: Ali, Ahmed Abdel Hakim, Ahmed
-
Shading Effect to Energy Withdrawn from the Photovoltaic Panel and Implementation of DMPPT Using C Language
Citation: 22
Authors: Saad, Abdelaziz, Souad, Aziz
-
A New Robust Adaptive Fuzzy Sliding Mode Controller for a Variable Speed Wind Turbine
Citation: 15
Authors: El Mehdi, Zakaria, Mohammed, Ismail
-
Wi!Mi Expert System Shell as the Novel Tool for Building Knowledge-Based Systems with Linear Computational Complexity
Citation: 14
Authors: Oleg Olegovich
-
Design of Terminal Sliding Position Control for Electronic Throttle Valve System: a Performance Comparative Study
Citation: 12
Authors: Akram Hashim, Ayad Q., Amjad Jaleel, Hanan A.
-
Robust Sliding Mode MPPT Controller Based on High Gain Observer of a Photovoltaic Water Pumping System
Citation: 10
Authors: M., A., EL. H.
-
Tuning PI Controller Based on Multiobjective Optimization Approaches for Speed Control of PMSG Wind Turbine
Citation: 9
Authors: Ratna Ika, Lie, Margo, Ardyono, Mauridhi Hery
-
Generation of Power Plant Artificial Immune System Using the Partition of the Universe Approach
Citation: 8
Authors: Ghassan, Mario George
-
Distributed Systems and Industrial Communication Networks with the Internet of Things, Aimed at Industry 4.0
Citation: 8
Authors: Wilson Edmundo, Alex Moreano, Elizabeth Salazar, MarÃa Verónica Moreno