Adaptive State Prediction for Operating Point Optimization of Agricultural Machine Combinations
Overview & Synopsis
Improving the efficiency of agricultural machinery is increasingly important. This work presents a constrained optimization approach for operating point optimization of agricultural machine combinations. System states are adaptively predicted under varying conditions to identify advantageous operating points while satisfying process constraints. Validation with multiple tractor-cultivator combinations demonstrates the prediction accuracy and efficiency improvement.
Indexed from repository: OAPEN Library
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www.oapen.org)
Document Information
| Document Title | Adaptive State Prediction for Operating Point Optimization of Agricultural Machine Combinations |
|---|---|
| Author / Organization | Kazenwadel, Benjamin |
| Subject & Discipline | Adaptive Modeling |
| Categories | Humanities & Social Sciences |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
OAPEN Library
(www.oapen.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-21054 |
| Original Source Link | Visit Source Page on www.oapen.org » |