The special issue of Proceedings of the IEEE November 2020 provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control. The special issue brings together world-renowned experts from the areas of signal processing, control, optimization, and machine learning, who have contributed a total of 12 articles to this issue. These articles should be accessible to readers with different technical backgrounds, summarize the state-of-the-art theoretical and algorithmic advances in optimization for data-driven learning and control, and they elaborate on the implications of these advances in many real-world applications. Another highlight of these articles is their ability to connect their technical results to real-world applications for the benefit of the diverse readership of this special issue.
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering