Name
Title | ||
|---|---|---|
Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power. |
Abstract | ||
|---|---|---|
Embedded systems require control algorithms that are safe and able to operate in embedded platforms with extreme limitations on energy, memory, and area footprint. Nonlinear model predictive control (NMPC) algorithms respect operational constraints to ensure safety but are typically challenging to implement on resource-constrained embedded systems at high speeds. This brief introduces a formalism ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCST.2019.2898835 | IEEE Transactions on Control Systems Technology |
Keywords | DocType | Volume |
Embedded systems,Hardware,Approximate computing,Approximation algorithms,Logic gates,Real-time systems,Predictive control | Journal | 28 |
Issue | ISSN | Citations |
3 | 1063-6536 | 2 |
PageRank | References | Authors |
0.44 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arnab Raha | 1 | 197 | 19.45 |
| Ankush Chakrabarty | 2 | 68 | 12.73 |
| Vijay Raghunathan | 3 | 1932 | 170.13 |
| Gregery T. Buzzard | 4 | 55 | 12.53 |