Intelligent control is based on the synergistic combination of advances in Internet of Things (IoT), Crowdsensing technologies, Big Data (BD) analytics, Mobile and Cloud Computing, Artificial Intelligence (AI), and Smart Cyber-Physical Systems. In recent years, AI and BD are both accomplishing big technological advances. The integration of the techniques specific to Machine Learning (ML) and BD in control systems leads to control systems with several degrees of intelligence, developed in the framework of both model-based and data-driven control.
Regardless of the great progress, applying learning control and BD to industrial systems with high degrees of freedom, nonlinear-in-the-parameter uncertainties, or nonparametric uncertainties is still challenging. Besides, research results on the systematic integration of learning control and other control approaches with successful real-world applications are rare. Concepts and algorithms developed in intelligent control, ML and BD help the complex systems to adapt to the varying environment with the help from sensors, actuators, computation technology and communication networks. This special issue aims to tighten the bond between the control theory, the data theory and the learning theory and their real-world applications.
Researchers, developers, and industry experts are welcome to contribute to one of the following topics or slightly similar ones:
• Intelligent control systems
• Machine learning in control applications
• Autonomous control systems
• Modeling and identification of nonlinear systems
• Cognitive robotics
• Adaptive control of nonlinear process
• Predictive nonlinear control
• Modeling of nonlinear complex systems
• Big Data analytics and applications in control
• AI for future control systems architectures
• Cloud data mining and robot intelligence
• Cloud intelligence agents and robotics
Important Dates:
Submission deadline: 15 April 2024
First round of revision: 15 June 2024
Revised version submission: 15 July 2024
Final Decision: 15 August 2024
The correspondence with CEAI including the paper submission will be carried out using the webpage http://ceai.srait.ro and respecting the instructions for authors specific to CEAI and also IFAC.
Guest Editors:
Acad. Ioan Dumitrache, Prof. Radu-Emil Precup
