Application of Smart Estimation Algorithms for Autonomous and Connected Vehicles

Ali ZEMOUCHE , Cédric DELATTRE

The objective of this internship is to apply and validate intelligent estimation algorithms synthesized in the ArtISMo project. They integrate both classical automation approaches and online learning techniques by relying on physical models and neural networks to address the complexities of vehicle dynamic behavior and estimate the state variables needed to control VACs accurately. The intern will focus on implementing the high-gain observer and the neuro-adaptive observer using real data to validate their performance and robustness under various operating conditions.

Control Identification Diagnosis