Abstract
In order to effectively control nonlinear and multivariable models, and to incorporate constraints on system states, inputs and outputs (bounds, rate of change), a suitable (sometimes necessary) controller is Model Predictive Control (MPC), also known as receding horizon control and moving horizon control. For processes with slow dynamics and low sampling rates, MPC is typically implemented on a dedicated workstation. In this work we present the implementation of MPC on a general-purpose processor, providing a low-cost, low-power consumption and small in size implementation. In order to test the performance of the embedded MPC we examine a glucose regulation problem. Additionally, profiling results of the performance of the processor are provided.
Original language | English (US) |
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Title of host publication | Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 |
Pages | 5162-5167 |
Number of pages | 6 |
Volume | 2005 |
DOIs | |
State | Published - 2005 |
Externally published | Yes |
Event | 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain Duration: Dec 12 2005 → Dec 15 2005 |
Other
Other | 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 |
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Country/Territory | Spain |
City | Seville |
Period | 12/12/05 → 12/15/05 |
ASJC Scopus subject areas
- Engineering(all)