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Control of a Muscle Actuated Manipulator using the NeuraBASE Network Model
2014
Journal of Automation and Control Engineering
This paper presents an alternative approach for the control of an antagonistic muscle actuated manipulator. The proposed method uses a neuronal network called NeuraBase to learn the sensor events obtained via a rotary encoder and to control the motor events of two DC motors, to rotate the manipulator. A neuron layer called the controller network links the sensor neuron events to the motor neurons. The proposed NeuraBase network model (NNM) has demonstrated its ability to successfully control
doi:10.12720/joace.2.3.302-309
fatcat:gf2zrycv5rg5njdxtnktmtuo3i