Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
22
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 80 publications
(22 citation statements)
references
References 24 publications
0
22
0
Order By: Relevance
“…In the tube-based MPC approach [22], a feedback controller is used to keep the state within an invariant tube even under the influence of uncertainties. This approach has been used for the active safety of the vehicle by ensuring the state and input constraints are satisfied in the presence of disturbances and uncertainties due to model mismatch [23]- [26].…”
Section: Introductionmentioning
confidence: 99%
“…In the tube-based MPC approach [22], a feedback controller is used to keep the state within an invariant tube even under the influence of uncertainties. This approach has been used for the active safety of the vehicle by ensuring the state and input constraints are satisfied in the presence of disturbances and uncertainties due to model mismatch [23]- [26].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, more and more attention has been paid to accurate lateral control. A robust model predictive control (MPC) strategy for lateral tracking was proposed in Mata et al (2019), which guaranteed stability and certain comfort standards for a wide range of speed change. Gutjahr et al (2017) utilized linear model predictive control (LMPC) to solve the lateral trajectory optimization problem under some time-varying constraints.…”
Section: Introductionmentioning
confidence: 99%
“…Yao proposed an MPC model with longitudinal velocity compensation in the prediction range, and analyzed the longitudinal velocity change mechanism and the stability within the prediction range [28]. Sara M introduced a Tube-based MPC to consider the dynamic difference between the real vehicle and this constant nominal model, not only considering the lateral error, but also the directional error [29]. Michael J extended constraint removal to Tube-based MPC, detecting inactive constraints in advance, deleting invalid constraints, and reducing calculation time [30].…”
Section: Introductionmentioning
confidence: 99%