Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2015 54th IEEE Conference on Decision and Control, CDC 2015 |
| Pages | 3663-3668 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479978861 |
| DOIs | |
| Publication status | Published - 16 Dec 2015 |
| Externally published | Yes |
| Publication type | A4 Article in a conference publication |
| Event | 54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan Duration: 15 Dec 2015 → 18 Dec 2015 |
Conference
| Conference | 54th IEEE Conference on Decision and Control, CDC 2015 |
|---|---|
| Country | Japan |
| City | Osaka |
| Period | 15/12/15 → 18/12/15 |
Abstract
The model predictive control problem of linear systems with integer inputs results in an integer optimization problem. In case of a quadratic objective function, the optimization problem can be cast as an integer least-squares (ILS) problem. Three algorithms to solve this problem are proposed in this paper. Optimality can be traded in to reduce the computation time. An industrial case study-an inverter-driven electrical drive system-is considered to demonstrate the effectiveness of the presented techniques.