About this book series
This Springer book series shows control theory applications and the latest achievements in the field of the autonomous vehicle. It emphasizes the practical application of various control methods, with real-world experimental validations. New and developing control algorithms, including data-driven control, robust control, cooperative control, and predictive control, are discussed and applied in the connected autonomous vehicle to improve energy consumption, vehicle safety, passenger feeling, and transportation efficiency.
The book series aims to introduce essential and recent achievements in the autonomous vehicle to researchers and engineers. The individual book volumes in the series are thematic. The goal of each volume is to give readers a comprehensive overview of how developing control algorithms can be used to improve vehicle performance and transportation efficiency. As a collection, the series provides valuable resources to a broad audience in academia, the engineering research community, industry, and anyone else who are looking to expand their knowledge of the autonomous vehicle.
- Electronic ISSN
- 2731-0035
- Print ISSN
- 2731-0027
- Series Editor
-
- Yanjun Huang,
- Wei He,
- Xiaosong Hu,
- Shengbo Eben Li,
- Weichao Sun,
- Guodong Yin,
- Hui Zhang,
- Wanzhong Zhao,
- Bing Zhu
