Mathematics of Control, Signals, and Systems (MCSS) is inviting mathematically rigorous original research articles for a special issue on the Mathematical Foundations of Control Driven by Large Data.
Topics include but are not limited to:
- Learning controllers directly from data
- Systems identification from large data sets
- Sample complexity of learning dynamical systems
- Data driven optimization of dynamical systems
- Machine learning inspired approaches to learning and controlling dynamical systems, including but not limited to Reinforcement Learning
- Use of control theoretic techniques to improve learning, including convergence rates and robustness against adversarial attacks
- Handling different scales of data availability and informativity.
Guest Editors of the special issue are Alessandro Chiuso, Necmiye Ozay, Mario Sznaier, and Rene Vidal. Submission deadline is October 31, 2021. For more information see https://www.springer.com/journal/498/updates.
