Fuzzy logic and neural network based robot Controller
Budget: $10 – $30 USD
I have a simulink model for a DDMR and i need to design Controller as follow :
a) Design a linguistic controller using fuzzy logic inference process (Mamdani inference mechanism and centroid method of defuzzification) to control the trajectory of the DDM robot.
b) Design an inverse-kinematics neural network model for the DDMR using data collected from the Simulink model of the controlled DDMR. Train ANN controller for the following: circle, Eight shape and combined.
c) Using the same data obtained in part b), design a neuro-fuzzy controller for the same purpose.
a) Design a linguistic controller using fuzzy logic inference process (Mamdani inference mechanism and centroid method of defuzzification) to control the trajectory of the DDM robot.
b) Design an inverse-kinematics neural network model for the DDMR using data collected from the Simulink model of the controlled DDMR. Train ANN controller for the following: circle, Eight shape and combined.
c) Using the same data obtained in part b), design a neuro-fuzzy controller for the same purpose.