Steady state hydraulic valve fluid field estimator based on Non-Dimensional Artificial Neural Network (NDANN)

Journal of Computing and Information Science in Engineering

Volumn 4, Issue 3, 2004, Pages 257-270

  Cao, M ^a   Wang, K W ^a   Devries, L ^a,c   Fujii, Y ^b   Tobler, W E ^b   Pietron, G M ^b   Tibbls, T ^b   McCallum, J ^b  

^a The Pennsylvania State University   (United States)

^b FORD MOTOR COMPANY   (United States)

^c General Dyniamics ^*

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TRANSMISSION (AT); HYDRAULIC CONTROL SYSTEMS; STEADY STATE HYDRAULIC VALVE FLUID FIELD ESTIMATOR; TRAINING RANGE;

COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; FLOW OF FLUIDS; FORCE CONTROL; GEOMETRY; HYDRAULIC CONTROL EQUIPMENT; HYDRAULIC FLUIDS; OPTIMIZATION; PARAMETER ESTIMATION;

NEURAL NETWORKS;

EID: 12344288018     PISSN: 15309827     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.1765119     Document Type: Article

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