The growing adoption of Connected and Automated Vehicles (CAVs) is transforming modern mobility looking towards the spread of autonomous driving. Among their most promising applications is vehicle platooning, which enables groups of vehicles to move cooperatively in a safe, efficient, and automated manner. This approach offers notable advantages in fuel efficiency, traffic management, and road safety. To support effective platooning, the design and implementation of novel control strategies must account for both vehicle behavior and the underlying communication framework. This thesis focuses on distributed innovative control approaches that enhance scalability and robustness by leveraging local information, enabling real-time implementation across fleets.