Recurrent-neural-network-based identification of a cascade hydraulic actuator for closed-loop automotive power transmission control

Journal of Mechanical Science and Technology

Volumn 26, Issue 5, 2012, Pages 1599-1606

  You, Seung Han ^a   Hahn, Jin Oh ^b  

^a Hyundai Motor Co   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Automatic transmission; Closed loop power transmission control; Hydraulic actuator; Nonlinear system identification; Pressure control; Recurrent neural network

Indexed keywords

AUTOMATIC TRANSMISSION; AUTOMATIC TRANSMISSION CONTROL; AUTOMOTIVE SYSTEMS; CASCADE HYDRAULICS; CLOSED-LOOP; CLOSED-LOOP CONTROL; DESIGN APPLICATIONS; DYNAMIC CHARACTERISTICS; EMPIRICAL MODEL; EXPERIMENTAL ANALYSIS; EXPERIMENTAL VALIDATIONS; FREQUENCY RANGES; KEY SYSTEMS; MODEL BASED OBSERVER; NONLINEAR SYSTEM IDENTIFICATION PROCEDURES; OBSERVERS AND CONTROLLERS; POWER TRANSMISSION CONTROL; PREDICTION CAPABILITY; RESEARCH EFFORTS; RIDE QUALITY; STEADY STATE CHARACTERISTICS;

ALGORITHMS; AUTOMOBILES; CLOSED LOOP CONTROL SYSTEMS; CONTROL EQUIPMENT; FUEL ECONOMY; HYDRAULIC ACTUATORS; NONLINEAR SYSTEMS; POWER TRANSMISSION; PRESSURE CONTROL; RECURRENT NEURAL NETWORKS;

QUALITY CONTROL;

EID: 84861771530     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-012-0304-z     Document Type: Article

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