Hardware implementation of a RBF neural network controller with a DSP 2812 and an FPGA for controlling nonlinear systems

ICSMA 2008 - International Conference on Smart Manufacturing Application

Volumn , Issue , 2008, Pages 167-171

  Lee, Geun Hyung ^a   Kim, Sung Su ^b   Jung, Seul ^a  

^a Chungnam National University   (South Korea)

^b Agency for Defence Development   (South Korea)

Author keywords

DSP 2812; Neural network controller; Nonlinear system

Indexed keywords

DIGITAL SIGNAL PROCESSING; DIGITAL SIGNAL PROCESSORS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FLOW CONTROL; HARDWARE; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; NONLINEAR SYSTEMS; PENDULUMS; SIGNAL PROCESSING;

DIGITAL SIGNAL PROCESSING CHIP; DSP 2812; EXPERIMENTAL STUDIES; FIELD PROGRAMMABLE GATE ARRAY; HARDWARE IMPLEMENTATIONS; INTERNATIONAL CONFERENCES; INVERTED PENDULUM SYSTEMS; NEURAL CONTROLLERS; NEURAL NETWORK CONTROLLER; NEURAL NETWORK CONTROLLERS; NEURAL NETWORK LEARNING ALGORITHM; NONLINEAR SYSTEM; RBF NEURAL NETWORK; REFERENCE COMPENSATION TECHNIQUE; SMART MANUFACTURING;

NEURAL NETWORKS;

EID: 50249163085     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMA.2008.4505634     Document Type: Conference Paper

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