Discrete Learning Control with Application to Hydraulic Actuators
In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the c...
Guardado en:
| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Norwegian Society of Automatic Control
2015-10-01
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| Colección: | Modeling, Identification and Control |
| Materias: | |
| Acceso en línea: | http://www.mic-journal.no/PDF/2015/MIC-2015-4-2.pdf |
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