Journals in Mechatronics

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.

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

Engineering Applications of Artificial Intelligence

ISSN: 0952-1976
5 Year impact factor: 7.4
Impact factor: 7.5

A journal of IFAC, the International Federation of Automatic Control Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.Papers which do not respect the 4 following conditions will be desk-rejected without being sent to reviewers:Papers on new metaphor-based metaheuristics are very rarely accepted by EAAI (see details on this in the guide online).The abstract should clearly specify which is the contribution in AI and which is the application in engineering.The use of undefined acronyms in the title and in the abstract is forbidden.The papers must be formatted in single-column format.Focal points of the journal include, but are not limited to innovative applications of:Internet–of–things and cyber-physical systemsIntelligent transportation systems & smart vehiclesBig data analytics, understanding complex networksNeural networks, fuzzy systems, neuro-fuzzy systemsDeep learning and real world applicationsSelf-organizing, emerging or bio-inspired systemGlobal optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic controlDecision-support systemsAspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoningApplications of chaos theory and fractalsReal-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informaticsKnowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systemsPerception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesisAspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliabilityIntelligent fault detection, fault analysis, diagnostics and monitoringIndustrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercisesRoboticsEngineering Applications of Artificial Intelligence publishes:Survey papers/tutorialsContributed papers — detailed expositions of new research or applicationsCase studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applicationsIFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literatureThe Editors of Engineering Applications of Artificial Intelligence wish to inform authors that this journal will not publish papers that propose "novel" metaphor-based metaheuristics, unless the authors: present their method using the normal, standard optimization terminology;show that the new method brings useful and novel concepts to the field;motivate the use of the metaphor on a sound, scientific basis;present a fair comparison with other state-of-the-art methods using state-of-the-art practices for benchmarking algorithms.For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.orgSoftware publicationWe invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: [email protected]

Mechatronics

ISSN: 0957-4158
5 Year impact factor: 3.6
Impact factor: 3.1

The Science of Intelligent Machines An International JournalMission and ScopeA journal of IFAC, the International Federation of Automatic ControlWelcome to Mechatronics: The Science of Intelligent Machines. Mechatronics is a 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, and control systems of 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: Modeling, identification and control of mechatronic systems; motion and vibration control; micro/nano systems and devices; automotive systems; biomedical mechatronic systems; and advanced manufacturing equipment and processes.Robotics: Modeling, 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; teleoperation; haptics; and multi-robot systems.Types of papersRegular Articles: Articles that describe original research of high quality in Mechatronics or in Robotics.Review Articles: Contain a detailed survey of established or emerging topics of interest to the journal readership.Robotics and Mechatronics Letters: Short manuscripts, no longer than seven printed journal pages, that report important time sensitive results in Robotics or in Mechatronics. These articles will go through a rapid review process overseen by a dedicated Co-Editor-in- Chief.Book Reviews: A detailed review of published textbooks or research monographs of interest to Mechatronics' readership.

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Journals in Mechatronics

Annual Reviews in Control

Control Engineering Practice

Engineering Applications of Artificial Intelligence

Mechatronics