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This paper proposes an adaptive Neuro-Fuzzy control approach for controlling the link variables of a 4 degree-of-freedom Selective Compliant Assembly Robot Arm (SCARA) type robot arm / manipulator. In the real world environment, the mathematical models of many robots are often not accurate, due to the presence of continuous disturbances that effect their dynamic equations, in addition to errors in...
This paper proposes an adaptive Neuro-Fuzzy control approach to predict the torque required to control the attitude and rate in a spacecraft maneuver. In the real world environment, the mathematical models of many complex systems are often not accurate, due to the presence of continuous disturbances that effect their dynamic equations, in addition to errors in parameter knowledge. Consequently, methods...
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