Submission Deadline: 15 March 2026 View: 2629 Submit to Special Issue
Prof. Matilde Santos
Email: msantos@ucm.es
Affiliation: Computer Architecture and Automatic Control Department, Institute of Knowledge Technology, University Complutense of Madrid, Madrid, 28040, Spain
Research Interests: Intelligent control, system modeling, renewable energies, AGV
Assoc. Prof. Jess Enrique Sierra-Garca
Email: jesierra@ubu.es
Affiliation: Department of Digitalization, University of Burgos, Burgos, 09006, Spain
Research Interests: Intelligent Control, Robotics, Signal Processing, Modeling, Simulation, Wind energy
Prof. Antonio Ruano
Email: aruano@ualg.pt
Affiliation: Faculty of Science and Techonlogy, University of Algarve, Faro, 8005-294, Portugal
Research Interests: Intelligent Control, Computational Intelligence, Energy Management
Dr. Mara Tomas Rodrguez
Email: Maria.Tomas-Rodriguez.1@city.ac.uk
Affiliation: Department of Engineering, City University of London, London, EC1V 0HB, United Kingdom
Research Interests: Mechanical Engineering, Control and Systems Engineering, Systems and Control, Ocean Engineering, Control and Optimization, Wind Energy
CO2 emissions, primarily from non-renewable energy systems and unsustainable industries, are a major driver of climate change. To address this, there is a global push to adopt renewable energy sources like wind, marine, hydro, and solar. The automation and control techniques employed in engineering systems—especially in energy production, robotics, and automation—play a critical role in determining their efficiency and sustainability. Research focused on control, efficiency, and sustainability is essential to advancing this sustainable trend.
Expert systems, fuzzy control, neural networks, genetic algorithms, artificial immune networks, swarming particle techniques, ACO, reinforcement learning, and machine learning have demonstrated effectiveness across various fields. These advanced techniques can address complex problems where traditional methods are less efficient, offering solutions that are more energy-efficient and environmentally friendly.
The goal of this special issue is to provide a platform for researchers, engineers, and industrial practitioners from different fields to share and exchange their ideas, research results, and experiences in the field of computational intelligence applied to renewable energy, robotics and automation. Contributions to this special session are welcome to present and discuss novel methods, algorithms, frameworks, architectures, platforms, and applications.
Research topics include but are not limited to:
· Intelligent control: fuzzy control, neuro-control, neuro-fuzzy, intelligent-PID control
· Optimization by heuristic techniques in system engineering and control
· Modelling and identification by automated learning
· Identification and control by hybrid intelligent strategies
· Real-world applications on wind, marine, and hydro renewable energy
· Real-world applications in smart industry: robotics and automation
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