Journals in Control systems

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Annual Reviews in Control

• ISSN: 1367-5788
• 5 Year impact factor: 10.5
• Impact factor: 7.3

The field of Control is changing very fast now with technology-driven “societal grand challenges” and with the deployment of new digital technologies. Indeed, increasingly both economic developments and societal needs depend upon collections of diverse systems working together to provide needed services, comfort, health, safety, and security. Consequently, there is an increasing demand for methodological and technical approaches which allow multiple, independent, heterogeneous systems to interoperate cooperatively providing broader capabilities than available from individual systems. Such considerations apply in many different domains including transportation, health care, energy and water management, smart cities, defense and security, social services, manufacturing systems, supply chains and more. The design of such systems requires understanding the joint dynamics of computers, software, networks, physical, chemical, biological processes and human-in-the-loop.The aim of Annual Reviews in Control is to provide comprehensive and visionary views of the field, by publishing the following types of review articles: Survey Article: Review papers on main methodologies or technical advances adding considerable technical value to the state of the art. Note that papers which purely rely on mechanistic searches and lack comprehensive analysis providing a clear contribution to the field will be rejected.Vision Article: Cutting-edge and emerging topics with visionary perspective on the future of the field or how it will bridge multiple disciplines, andTutorial research Article: Fundamental guides for future studies.For more details on the International Federation of Automatic Control (IFAC), visit their homepage at http://www.ifac-control.org.

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Applied Mathematical Modelling

• ISSN: 0307-904X
• 5 Year impact factor: 4.2
• Impact factor: 4.4

Applied Mathematical Modelling focuses on significant and novel scientific developments for mathematical modelling and computational methods and tools for engineering, industrial and environmental systems and processes leading to future innovations and novel technologies.The topics considered are: heat transfer, fluid mechanics, computational fluid dynamics and electromagnetics, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and magnetohydrodynamics; reliability modelling and system optimization; modelling of inventory, industrial, manufacturing and logistics systems with managerial insights; engineering systems and structures; mineral and energy resources; software engineering developments; digital twins; materials; unmanned vehicles; robotics; network traffic control; energy sustainability models; optimization; population dynamics with realistic scenarios; high-performance methods for data-driven engineering applications; numerical procedures; computational intelligence in complex engineering problems.Applied Mathematical Modelling is primarily interested in: Papers developing increased insights into real-world problems through novel analytical or semi-analytical mathematical and computational modelling.Papers with multi- and interdisciplinary topics, including linking with data driven models and applications.Papers on novel applications or a combination with the above.Papers employing existing methods must demonstrate significant novelty in the solution of practical problems. Model validation, verification and reproducibility is a fundamental principle for published papers.Papers based on fuzzy logic in decision-making, financial mathematics, heuristic algorithms, neural networks, data modelling, game-theoretical, fractional differential equations, bifurcation and numerical methods papers are not considered unless they solve practical problems, supported by reasonable empirical evidence. Submissions with no real-world application will not be considered.This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.If you require any further information or help, please visit our Support Center

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Automatica

• ISSN: 0005-1098
• 5 Year impact factor: 6
• Impact factor: 4.8

A Journal of IFAC, the International Federation of Automatic ControlAutomatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.Additional information about Automatica, including a list of recently accepted papers and a cumulative table of contents (1963-present), can be found at the website www.journals.elsevier.com/automatica. Papers should be submitted using the on-line review management system Pampus www.autsubmit.com.

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Automation in Construction

• ISSN: 0926-5805
• 5 Year impact factor: 10.6
• Impact factor: 9.6

Design & Engineering — Construction Technology — Maintenance & ManagementAutomation in Construction is an international journal for the publication of original research papers. The journal publishes refereed material on all aspects pertaining to the use of Information Technologies in Design, Engineering, Construction Technologies, and Maintenance and Management of Constructed Facilities. The scope of Automation in Construction is broad, encompassing all stages of the construction life cycle from initial planning and design, through construction of the facility, its operation and maintenance, to the eventual dismantling and recycling of buildings and engineering structures. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal's purview:• Computer-aided design, product modeling, decision support systems, classification and standardization, product data interchange • Computer-aided engineering, process simulation models, graphics • Robotics, metrology, logistics, automated inspection, demolition/remediation • Facilities management, management information systems, intelligent control systems.This journal is supported by the following organisations: - Education in Computer Aided Architectural Design in Europe (eCAADe) - International Association for Automation and Robotics in Construction (IAARC) - International Council for Research and Innovation in Building and Construction (C.I.B.)

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Computational Materials Science

• ISSN: 0927-0256
• 5 Year impact factor: 3.2
• Impact factor: 3.1

The aim of the journal is to publish papers that advance the field of computational materials science through the application of modern computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing inorganic materials, such as metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials, and organic materials, such as polymers, liquid crystals, surfactants, emulsions, and also hybrid materials combining both inorganic and organic components such as polymer nanocomposites, nanocrystal superlattices or surfactant nanoparticle mixtures.Papers that report on the development of new methods, enhancement of existing approaches or significant technical computational advances are of interest.Papers with a focus on simulations must contain new conceptual or computational advances. For example, molecular dynamics using standard force fields, ordinary techniques and reporting conventional average quantities will be rejected without review. Validation of non-first-principles methods and transferability of methods must be included as part of each submission. In-depth discussion of impact, physical properties, and motivation for the system under study is strongly recommended.Studies including experimental data are of interest, but they must address a relevant theoretical/computational question. Papers that are deemed to be primarily experimental with some supporting theory will be returned without review.Data-driven materials research and materials informatics has emerged as a powerful technique to complement traditional computational materials science. Consistent with established best practices in data science, it is important that data and code associated with materials informatics studies adhere to FAIR data principles by being Findable, Accessible, Interoperable, and Reusable. FAIR data access also ensures a robust peer review process where results can be reproduced by referees. In a few rare cases, some limitations may prevent the complete public sharing of code and data; for instance, when the data or code is subject to copyright or intellectual property. However, these cases should be rare and considered on a case-by-case basis.The scope of the journal includes:obtaining new or enhanced insights into material behavior, properties and phenomena,predicting structure-property relationships for new materials in conjunction with data informatics,novel capabilities of computational methods and algorithms, technical software and shareware, or cyberinfrastructures.Contributions are accepted in the form of critical reviews, articles, letters and perspectives. Occasional special issues will be organized around a particular theme and some of these will be guest edited.Not all topics that potentially fall under the category of computational materials science will be considered; to find out more please visit the Guide for Authors.Guide for Authors:Research articles will be assessed based on originality, uniqueness and scientific merit. Manuscripts with significant overlap with existing reported works are likely to be inadmissible. Not all topics that potentially fall under the category of computational materials science will be accepted. For example, submissions that emphasize small molecules or clusters, focus on the design of components for structural applications, describe performance of an electronic device, or characterize thermal or mass transport without extensive accompanying input and associated discussion from computational materials science methods are best suited for other specialized journals. Additionally, papers that focus on continuum mechanical responses of broad classes of materials are likely better suited for journals that specialize in the mechanics of materials. Papers on biomolecules, drugs, bone, or medical applications will not be considered. In addition, papers on materials such as asphalt, cement, concrete, and related materials will be rejected without review.

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Computers & Chemical Engineering

• ISSN: 0098-1354
• 5 Year impact factor: 3.8
• Impact factor: 3.9

An International Journal of Computer Applications in Chemical EngineeringComputers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems. Several major areas of study are represented in the journal, including:• Modeling, numerical analysis and simulation • Mathematical programming (optimization) • Cyberinfrastructure, informatics and intelligent systems • Process and product synthesis/design • Process dynamics, control and monitoring • Abnormal events management and process safety • Plant operations, integration, planning/scheduling and supply chain • Enterprise-wide management and technology-driven policy making • Domain applications (molecular, biological, pharmaceutical, food, energy, and environmental systems engineering)Also, general papers on process systems engineering are welcome as well as emerging new areas and topics not covered above.Articles published cover different aspects of the application of process systems engineering to one or more of the general areas listed above, including new applications of established methods, comparisons of alternative methodologies, descriptions of state-of-the-art industrial applications and significant developments in computing targeted at training/education. Reports of software implementation must feature novel uses of state-of-the-art computing technologies. Computers & Chemical Engineering publishes full-length articles, perspective papers, journal reviews, short notes and letters to the editor.Online article submission now available via: https://www.editorialmanager.com/CACE/default.aspx.Comments and Proposals: We are interested in receiving comttpments/feedback on this and our other journals and welcome publication proposals for books, electronic products, new journals and co-operation for existing journals.

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Computers & Mathematics with Applications

• ISSN: 0898-1221
• 5 Year impact factor: 2.6
• Impact factor: 2.9

Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).The following are the principal areas of interest of the journal: Modeling using PDEs.Analysis of mathematical models, formulated in terms of PDEs.Discretization Methods and Numerical Analysis for PDEs.Numerical linear and nonlinear algebra. Fast numerical algorithms.Algorithms and Data Structures. Adaptivity. Computational Geometry.Software Design, Code verification and Quality Assurance (QA).Verification and Validation.This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.If you have questions about submissions, scope, or content, please contact our Support Center

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Computers in Industry

• ISSN: 0166-3615
• 5 Year impact factor: 9.3
• Impact factor: 8.2

An International, Application Oriented Research JournalThe aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:• Show new trends in and options for the use of Information and Communication Technology in industry; • Link or integrate different technology fields in the broad area of computer applications for industry; • Link or integrate different application areas of ICT in industry.General topics covered include the following areas:• The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. • The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. • Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. • Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:- Technologically outstanding and front-end - Application-oriented with a generalised message - Representative for research at an international levelBenefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Control Engineering Practice

• ISSN: 0967-0661
• 5 Year impact factor: 4.5
• Impact factor: 5.4

A Journal of IFAC, the International Federation of Automatic ControlControl Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation: •Automotive Systems •Aerospace Applications •Marine Systems •Intelligent Transportation Systems and Traffic Control •Autonomous Vehicles •Robotics •Human Machine Systems •Mechatronic Systems •Scientific Instrumentation •Micro- and Nanosystems •Fluid Power Systems •Gas Turbines and Fluid Machinery •Machine Tools •Manufacturing Technology and Production Engineering •Logistics •Power Electronics •Electrical Drives •Internet of Things •Communication Systems •Power and Energy Systems •Biomedical Engineering and Medical Applications •Biosystems and Bioprocesses •Biotechnology •Chemical Engineering •Pulp and Paper Processing •Mining, Mineral and Metal Processing •Water/Gas/Oil Reticulation Systems •Environmental Engineering •Agricultural Systems •Food Engineering •Other Emerging Control ApplicationsApplicable methods, theories and technologies: •Modeling, Simulation and Experimental Model Validation •System Identification and Parameter Estimation •Observer Design and State Estimation •Soft Sensing •Sensor Fusion •Optimization •Adaptive and Robust Control •Learning Control •Nonlinear Control •Control of Distributed-Parameter Systems •Model-based Control Techniques •Optimal Control and Model Predictive Control •Controller Tuning •PID Control •Feedforward Control and Trajectory Planning •Networked Control •Stochastic Systems •Fault Detection and Isolation •Diagnosis and Supervision •Actuator and Sensor Design •Measurement Technology in Control •Software Engineering Techniques •Real-time and Distributed Computing •Intelligent Components and Instruments •Architectures and Algorithms for Control •Real-time Algorithms •Computer-aided Systems Analysis and Design •Implementation of Automation Systems •Machine Learning •Artificial Intelligence Techniques •Discrete Event and Hybrid Systems •Production Planning and Scheduling •Automation •Data Mining •Data Analytic •Performance Monitoring •Experimental Design •Other Emerging Control Theories and Related Technologies

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Electric Power Systems Research

• ISSN: 0378-7796
• 5 Year impact factor: 3.3
• Impact factor: 3.3

An international journal devoted to research and new applications in generation, transmission, distribution and utilization of electric powerElectric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new design approaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.This journal welcomes contributions that support and advance the UN's sustainable development goals, in particular SDG 7 (Affordable and clean energy)

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