The required control surface is given by the following formula: Important: For you ?r design process you can only use the training set shown in the table with 25 data points. inpl inp2 out 0 0.055648 1 0.18476 2 0.33665 3 0.33665 4 0.18476 0 0.15902 1 0.52798 2 0.96203 3 0.96203 4 0.52798 0.33665 2 2.0366 3 2.0366 0 0.52798 1 1.7529 2 3.1941 3 3.1941 4 1.7529 0 0.61342 1 2.0366 4 2.0366 Task 1 Design a fuzzy input variables. You may select equal or not equal spacing. membership functions. Select adequate number of output fuzzy variables Use your best judgment to set prope packagelanguage and verify your desig resulted surface of your design (with at least 30 30 resolution) and describe all steps of your design and include your code controller for the given control surface. Select adequate number membership functions for both You may select triangular, trapezoidal, or Gaussian and assign them proper output values. r rule table. You may simulate your design with any computing t plot n with 3D graphical package of your choice. On the report you mus Task 2 Design a neural network controller for the same surface. The network will have two inputs r and y and one o z. Find proper neural network architecture (by trial and error) and train it to the required control surface. Try not to use more than 3-5 n You are welcome to use our NNT software. On the report you must plot resulted surface of your design (with at least 30 30 resolution) and deseribe all steps of your design. The required control surface is given by the following formula: Important: For you ?r design process you can only use the training set shown in the table with 25 data points. inpl inp2 out 0 0.055648 1 0.18476 2 0.33665 3 0.33665 4 0.18476 0 0.15902 1 0.52798 2 0.96203 3 0.96203 4 0.52798 0.33665 2 2.0366 3 2.0366 0 0.52798 1 1.7529 2 3.1941 3 3.1941 4 1.7529 0 0.61342 1 2.0366 4 2.0366 Task 1 Design a fuzzy input variables. You may select equal or not equal spacing. membership functions. Select adequate number of output fuzzy variables Use your best judgment to set prope packagelanguage and verify your desig resulted surface of your design (with at least 30 30 resolution) and describe all steps of your design and include your code controller for the given control surface. Select adequate number membership functions for both You may select triangular, trapezoidal, or Gaussian and assign them proper output values. r rule table. You may simulate your design with any computing t plot n with 3D graphical package of your choice. On the report you mus Task 2 Design a neural network controller for the same surface. The network will have two inputs r and y and one o z. Find proper neural network architecture (by trial and error) and train it to the required control surface. Try not to use more than 3-5 n You are welcome to use our NNT software. On the report you must plot resulted surface of your design (with at least 30 30 resolution) and deseribe all steps of your design