Intelligent Control and Machine Learning

Intelligent Control and Machine Learning is an interdisciplinary field that combines advanced control theory and artificial intelligence (AI) techniques to design systems capable of learning from data, adapting to changing environments, and making autonomous decisions. This area encompasses a broad range of topics, each focusing on different aspects of intelligent decision-making, learning algorithms, and control system design.

Subject areas include but are not limited to the following:

• Control for Learning and Learning for Control;
• Neural Network-Based Control;
• Fuzzy Logic Control;
• Model Predictive Control (MPC) with Machine Learning;
• Swarm Intelligence in Control;
• Optimization Algorithms in Intelligent Control;
• Edge Computing in Network Control Systems;
• Applications of Intelligent and ML-Based Control;
• Ethics and Safety in Intelligent Control and Machine Learning.