% Define input and output ranges for the Fuzzy Logic Controller
inputRange = [-1 1]; % Example range for error signal
outputRange = [-1 1]; % Example range for control signal
% Create a Fuzzy Logic Controller
flc = mamfis('Name','Fuzzy_PID');
% Define input variable: Error (e)
e = [-1 1];
flc = addInput(flc, e, 'Name', 'Error');
% Define membership functions for input variable: Error
flc = addMF(flc, 'Error', 'trimf', [-1 -1 -0.5], 'Name', 'NegativeBig');
flc = addMF(flc, 'Error', 'trimf', [-1 -0.75 0], 'Name', 'NegativeMedium');
flc = addMF(flc, 'Error', 'trimf', [-0.5 0 0.5], 'Name', 'Zero');
flc = addMF(flc, 'Error', 'trimf', [0 0.75 1], 'Name', 'PositiveMedium');
flc = addMF(flc, 'Error', 'trimf', [0.5 1 1], 'Name', 'PositiveBig');
% Define output variable: Control Signal (u)
u = [-1 1];
flc = addOutput(flc, u, 'Name', 'ControlSignal');
% Define membership functions for output variable: Control Signal
flc = addMF(flc, 'ControlSignal', 'trimf', [-1 -1 -0.5], 'Name', 'NegativeBig');
flc = addMF(flc, 'ControlSignal', 'trimf', [-1 -0.75 0], 'Name', 'NegativeMedium');
flc = addMF(flc, 'ControlSignal', 'trimf', [-0.5 0 0.5], 'Name', 'Zero');
flc = addMF(flc, 'ControlSignal', 'trimf', [0 0.75 1], 'Name', 'PositiveMedium');
flc = addMF(flc, 'ControlSignal', 'trimf', [0.5 1 1], 'Name', 'PositiveBig');
% Define Fuzzy Inference Rules
ruleList = [
"If Error is NegativeBig, then ControlSignal is PositiveBig"
"If Error is NegativeMedium, then ControlSignal is PositiveMedium"
"If Error is Zero, then ControlSignal is Zero"
"If Error is PositiveMedium, then ControlSignal is NegativeMedium"
"If Error is PositiveBig, then ControlSignal is NegativeBig"
];
flc = addRule(flc, ruleList);
% Plot the Fuzzy Logic Controller
figure;
plotfis(flc);
