A comparison of interior point and active set methods for FPGA implementation of model predictive control
A key component of model predictive control (MPC) is the solving of quadratic programming (QP) problems. Interior point method (IPM) and active set method (ASM) are the most commonly employed approaches for solving general QP problems. This paper compares several performance aspects of the two metho...
Saved in:
Main Authors: | Lau, Mark S. K., Yue, Siew Peng, Ling, Keck Voon, Maciejowski, Jan M. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/81026 http://hdl.handle.net/10220/47442 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Accelerating the interior point method on a FPGA
by: Koh, Christopher Seng Lee
Published: (2009) -
Robust multiplexed model predictive control
by: Richards, Arthur, et al.
Published: (2019) -
Global convergence on an active set SQP for inequality constrained optimization
by: Liu, X.-W.
Published: (2014) -
Applying a Newton method to strictly convex separable network quadratic programs
by: Sun, J., et al.
Published: (2013) -
A fast iterative nearest point algorithm for support vector machine classifier design
by: Keerthi, S.S., et al.
Published: (2014)