Name
Abstract | ||
|---|---|---|
This paper presents a comparison of observers for vehicle lateral dynamics. Three model-based observers are compared: firstly Luenberger observer with a linear stationary model, secondly Kalman filter with a non stationary model and lastly Luenberger observers for each subsystems of a Takagi-Sugeno multi-model. Moreover, an analysis of the lateral dynamics shows that the model discretisation may be problematic according to the signal sampling theorem and a solution is proposed, such that all the observers can be used on board of the vehicle. |
Year | Venue | Field |
|---|---|---|
2018 | Intelligent Vehicles Symposium | State observer,Discretization,Control theory,Kalman filter,Vehicle dynamics,Nyquist–Shannon sampling theorem,Yaw,Mathematics |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nolwenn Monot | 1 | 0 | 0.34 |
| Xavier Moreau | 2 | 23 | 7.20 |
| André Benine-Neto | 3 | 9 | 3.58 |
| Audrey Rizzo | 4 | 0 | 1.01 |
| Francois Aioun | 5 | 0 | 0.68 |