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Special Issue "Model Based, Data Driven Identification and Control for Developing Intelligent and Smart Processes and Systems"
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Supervision".
Deadline for manuscript submissions: 30 June 2023 | Viewed by 1355
Special Issue Editors
Interests: intelligent systems; soft computing; fuzzy control; modeling and simulation; nonlinear systems
Special Issues, Collections and Topics in MDPI journals
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Special Issue in Energies: Machine Learning and Deep Learning for Energy Systems
Special Issue in Applied Sciences: Deep Learning for Signal Processing Applications
Special Issue in Sensors: Smart Sensors, Big Data Analytics and Modelling in Healthcare and Personalized Medical Applications
Special Issue in Electronics: Intelligent Systems and Control Application in Autonomous Vehicle
Special Issue in Electronics: Recent Advanced Control, Applications, and Optimization for WSN and the IoT
Special Issue in World Electric Vehicle Journal: Artificial Intelligence Applied to Edge Computing of Electric Vehicle Applications
Special Issue in Energies: Machine Learning and Deep Learning for Energy Systems II
Special Issue in Sensors: Sensors Technology in Autonomous Vehicles and Automated Driving Status, Perspectives and Societal Impact
Special Issue in Electronics: Recent Trends in Explainable Artificial Intelligence (XAI) for Computer Vision
Special Issue Information
There is a growing demand for effective and efficient automation in almost every industrial sector around the world due to competitive consumer market requirements and to fulfil the mandate of the United Nations’ Sustainable Development Goals (SDGs) for the people. To fulfil these needs, the automation of processes and systems play a key role to evolve sustainable technologies to meet the growing need of the society. Subsequently, processes and systems are becoming more and more complex owing to its interaction with the affordable high-speed digital communication infrastructure, cheap high-power computing devices (or processors) and the availability of big data or information. Thus, these steep requirements of automation have led researchers to innovate, investigate and further create intelligent and smart systems. The creation of such intelligent processes and systems cannot be achieved by restricting ourselves to conventional theories of control and identification; rather, there is a need to blend the conventional theories of control and identification with the evolving theories of information sciences, data sciences, artificial intelligence (AI), computational sciences and the sense of communication sciences to evolve a realisable technology for automation of the complex systems and processes. In this Special Issue, the complex systems arising from biomedical sciences, robotic systems and energy systems are the main focus as they address some of the main SDGs out of the 17 goals. Further, the emphasis will be placed to the development of new identification and control techniques or methods that can eventually make the process or system under study intelligent and (or) smart. This Special Issue will publish very high-quality, novel multi-disciplinary research results on identification and control on the identified application areas. The conventional identification and control methods without the motivation and application for the present need of automation in industries and society are not encouraged for submission, as we consider that no methods of control, communication, and computation can work in silo in the present-day scenario. The papers submitted to this Special Issue must include sufficient mathematical and scientific justification to validate the results and a mere explanation of the proof of concept of the technology will not be accepted for review. The word control and identification included in the scope signifies the development of new methods for the complexities included in the processes and systems. The following potential topics are welcomes for this Special Issue, but are not limited to:
Power and Energy Systems:
- Power System Stability and Reliability;
- Modelling and control of prosumer resources;
- Decentralized control and management;
- Intelligent control in smart grids;
- Wide-area monitoring and control;
- Design of energy markets for smart grids;
- Cyber-physical and cybersecurity power grid applications;
- Data analytics and big data applications to microgrids and ADNs;
- Application of telecommunication technologies to power systems;
- Smart sensors, meters, and Advance Metering Infrastructure (AMI);
- Fuzzy modelling and control techniques for intelligent power system;
- Adaptive control schemes using AI based techniques for Power and Energy Systems.
Bio-Processes and Systems:
- Modelling and Control of biomedical systems with emphasis to complex and realistic application;
- New data-driven techniques for the identification and control of biomedical systems;
- AI-based biomedical imaging techniques;
- Bio-medical instrumentation for industrial automation;
- Smart and intelligent assistive technology for elderly people;
- Application of control methods for the automation of agricultural industries;
- Automation results from clinical trials;
- Development of data-driven or mathematical models for in silico applications as per medical or health standards.
Robotics and Manufacturing Processes and Systems:
- Robotics for industrial automation;
- Social and service robotics;
- Multi-agent robotic systems;
- Machine intelligence in robotics;
- Medical robotics;
- Unmanned systems;
- Reinforced learning;
- Networked control systems;
- Mechatronic systems;
- Consensus control algorithms for cooperative control;
- Bilateral teleoperation with communication constraints.
Prof. Dr. Valentina E. Balas
Dr. Rajeeb Dey
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.