Journals in Systems and control
Journals in Systems and control
The Systems and Control collection addresses theory and applications in automation, feedback control, robotics, and dynamic system modeling. It provides researchers and engineers with advanced methodologies to design, analyze, and optimize complex engineered systems. Highlighting integration with AI, IoT, and smart technologies, this portfolio supports innovation in industrial, aerospace, and robotic control systems.
Journal of Process Control
A journal of IFAC, the International Federation of Automatic ControlThis international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others.Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques.Topics covered include:• Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methodsAdvanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.For more details on the International Federation of Automatic Control (IFAC), access their home page.- ISSN: 0959-1524
Journal of Manufacturing Processes
Published by SMEManufacturing is undergoing major transformation due to the unforeseen challenges arising from the current trend of miniaturization, the emergence of new materials and the growing interaction between biologists and engineers to learn more from nature and living objects.Traditionall... a "top-down" approach has been used in manufacturing. Recently, engineers and scientists have begun exploring "bottom-up" approaches for manufacturing today's highly complex products. Further, these emerging processes are aimed to improve process efficiency and product quality.The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.Papers relevant to the scope of JMP include, but are not limited to, the following areas:• Meso/micro/nano fabrication, including imprint lithography. • Advanced manufacturing processes, including mechanical, chemical and thermal processes. • Welding, joining and assembly at micro and macro scales. • Rapid prototyping, rapid manufacturing and repair, stereolithography and other 3-D fabrication techniques that can use optical projection. • Advanced embossing, casting, forming and molding processes at all scales. • Continuum and subcontinuum process modeling and simulation. • Manufacturing process monitoring, control and automation. • Tribology and wear issues relevant to manufacturing processes.The Journal of Manufacturing Processes (JMP) is an official journal of SME, in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).- ISSN: 1526-6125
Control Engineering Practice
A journal of IFAC, The International Federation of Automatic Control. Control 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 ApplicationsApplicab... 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-Paramete... 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 TechnologiesFor more details on the International Federation of Automatic Control (IFAC), visit their home page.- ISSN: 0967-0661
Mechatronics
Mechatronics: The Science of Intelligent MachinesA journal of IFAC, The International Federation of Automatic Control.Mechatronics is an international refereed journal that publishes articles that report advances in the state-of-the-art in Mechatronics and Robotics. We welcome original submissions that report creative or innovative methodology and solutions with a synergistic combination of mechanical engineering, electrical and electronic engineering, control systems, data engineering and AI for intelligent machines or robotic systems. Submitted manuscripts are expected to report experimental results obtained from laboratory or full-scale mechatronic apparatus. Some of the topics addressed in the published articles include:Mechatronics... identification and control of mechatronic systems; motion and vibration control; solutions for machines towards autonomy; micro/nano systems and devices; automotive systems; biomedical mechatronic systems; and advanced manufacturing equipment and processes.Robotics:M... control, learning and system issues related to: autonomous vehicles and robots, marine, underwater, and aerial robots, legged robots, soft robots, field robots, industrial robots, medical robots; human-robot interaction; collaborative and autonomous systems; teleoperation; haptics; and multi-robot systems.- ISSN: 0957-4158
Computational Materials Science
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/computat... question. Papers that are deemed to be primarily experimental with some supporting theory will be returned without review.Data-driven techniques in materials research, including machine-learning enhanced simulations and materials informatics, have emerged as powerful techniques to complement traditional computational materials science. Consistent with established best practices in across data-driven science, it is important that studies proposing or applying data-driven techniques provide data and code that adhere to FAIR data principles- Findable, Accessible, Interoperable, and Reusable. FAIR data access also ensures a robust peer review process where results can be reproduced by referees. Papers that are deemed to be primarily methodological but do not provide FAIR data and code will be returned without review. 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... 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.To be considered for publication in Computational Materials Science studies proposing or applying data-driven techniques must exhibit a high degree of novelty in application and interpretation, in addition to providing FAIR-compatible data and code to support their analysis. the data and code used to generate your models are not available. This is achievable in different ways, not limited to posting code on a publicly available GitHub repository and/or data on Zenodo, including the code and data as attachments to the manuscript, or as a docker container.Not all topics that potentially fall under the category of computational materials science will be considered. 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.- ISSN: 0927-0256
Automatica
A journal of IFAC, the International Federation of Automatic Control, Automatica is a leading archival publication in the field of systems and control. The field today encompasses 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. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. Since its inception, 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.Automatica 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. Papers should be submitted using the on-line review management system Pampus www.autsubmit.com.- ISSN: 0005-1098
Journal of Manufacturing Systems
Published by SMEThe Journal of Manufacturing Systems publishes state-of-the-art fundamental and applied research in manufacturing at systems level. Manufacturing systems are comprised of products, equipment, people, information, control and support functions for the economical and competitive development to satisfy market and societal needs.The aim of the Journal of Manufacturing Systems is to publish archival scholarly literature with the goal of advancing the state of the art in manufacturing systems and encouraging innovation in developing efficient, robust and sustainable manufacturing systems. Pertinent to the Journal is research that will impact emerging manufacturing systems from the equipment level to the extended enterprise. Challenges are addressed at the systems level within and across various scales including nano, micro and macro-scale manufacturing, as well as within and across broad sectors including aerospace, automotive, energy and medical device manufacturing.The scope of the Journal of Manufacturing Systems includes, but is not limited to, the following areas:Factory and production network design, process planning, assembly planning;Smart sensor networks, real-time monitoring, distributed system control;Human-machin... interaction, human-robot collaborative assembly, operator ergonomics;Virtual and augmented reality in manufacturing;Artifi... intelligence in manufacturing;Design and operation for sustainability, energy efficiency in production;Global and regional production networks, material handling, logistics;Mass customisation and personalisation, complexity management;Cyber-phy... production systems, big data analytics, industrial Internet;Systems issues related to additive and subtractive manufacturing, micro-electromechani... systems.Papers addressing related emerging topics are encouraged, and special-topic issues on emerging topics will be considered. Papers on manufacturing processes (additive, subtractive), modelling and simulation, shop-floor scheduling, diagnosis and prognosis, supply chain management, and resource optimisation, will generally be considered out of scope, as there are other more appropriate journals in these areas. The Journal of Manufacturing Systems is an official journal of Society of Manufacturing Engineers (SME), in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).- ISSN: 0278-6125
Neural Networks
The journal Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning.Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep learning algorithms and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspire... artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. On the other hand, neural networks should be central to submissions. The journal publishes articles, letters, and reviews/tutorials, as well as letters to the editor, editorials, and current events. Articles are published in one of five sections: learning systems, cognitive science, neuroscience, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of three of the oldest and most prominent neural network societies: the International Neural Network Society (INNS), the Asia-Pacific Neural Network Society (APNNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.- ISSN: 0893-6080
Mechanism and Machine Theory
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.The main topics are:Design Theory and Methodology;Haptics and Human-Machine-Interf... Mechatronics and Micro-Machines;Mecha... Mechanical Transmissions and Machines;Kinematics, Dynamics, and Control of Mechanical Systems;Applications to Bioengineering and Molecular ChemistryMethodologi... this includes theoretical, experimental, and/or historical approaches, along with their practical application, including education. Substantially, the journal aims at covering all subjects related to mechanisms and machines in general, such as: design theory and methodology, kinematics of mechanisms, rotor dynamics, computational kinematics, multibody dynamics, dynamics of machinery, nonlinear vibrations, linkages and cams, gearing and transmissions, transportation machinery, control and reliability of mechanical systems, including hydraulic and pneumatic systems, experimental test techniques, robots and robotic technologies, mechatronics, micromachines, human-machine interfaces, haptics, among others. Prospective fields of application of mechanism and machine science to other scientific areas such as bioengineering and molecular chemistry are also welcome.For more information on IFToMM, please visit https://iftomm-world...- ISSN: 0094-114X
Systems & Control Letters
Founded in 1981 by two of the pre-eminent control theorists, Roger Brockett and Jan Willems, Systems & Control Letters is one of the leading journals in the field of control theory. The aim of the journal is to allow dissemination of relatively concise but highly original contributions whose high initial quality enables a relatively rapid review process. All aspects of the fields of systems and control are covered, especially mathematically-orien... and theoretical papers that have a clear relevance to engineering, physical and biological sciences, and even economics. Application-oriented papers with sophisticated and rigorous mathematical elements are also welcome. Expressly excluded from SCL's scope are the following topics: fractional-order systems, designs employing fuzzy-neural network approximations, all but the most mathematically sophisticated embodiments of sliding-mode control, "dynamic surface control", adaptive control under unknown sign of high-frequency gain (Nussbaum gain algorithms), the so-called "multi-dimensional" systems (discrete-time/discr... systems inspired by image processing), all applications not entailing significant theoretical advances, and all papers with analytical developments not resulting in rigorous "theorem-proof" formulations of the results.Articles published in SCL rarely exceed 8-10 pages in Elsevier's two-column format. However, submission on topics of a technically demanding nature (for example, stochastic control, PDE control, etc.), where even concisely crafted proofs cannot fit into the said page limit, are also welcome, as long as their initial quality is high and permits editorial processing that typically takes no more than two rounds of review. (Initial quality refers to originality, relevance, correctness, clarity of exposition, and comprehensive awareness of literature in the paper's first draft.)Following the San Francisco Declaration on Research Assessment, signed by Elsevier and over 2,000 organizations and 16,000 researchers, authors of submissions to SCL should cite primary literature, in which observations are first reported, rather than limiting themselves to citing surveys and predominantly recent contributions. Additionally, geographically limited perspectives on the literature are not appropriate for submissions to a global journal like SCL. This policy aims for a proper attribution of credit, authors' adequate assessment of their own contributions, and those undertaking follow-up research effort not being misguided regarding the state of the art on a topic to which they will dedicate much time and their career hopes. The editors may reject an article containing such lapses, either after the deficiencies are not corrected to the editors' satisfaction upon being pointed out by editors or reviewers, or immediately upon submission if the deficiencies require a degree of editorial input that is more commonly associated with acting as a co-author than as an editor or reviewer.- ISSN: 0167-6911
