.png){kind=icon}
Return
Efficient active set optimization in triple mode MPC
.png){kind=icon}
PRE
AI
DOI：10.1109/9.940940.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
An active set algorithm tailored to quadratically constrained quadratic programming in model predictive control (MPC) is presented. It enables efficient use of augmented ellipsoidal invariant sets in conjunction with polytopic constraints in triple mode MPC. The algorithm gives improved optimality and larger stabilizable initial condition sets than conventional quadratic programming MPC algorithms of comparable online computational burden.
Keywords:
constrained control
optimization
predictive control
quadratic programming
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSave no more
no more