Mcc Toolbox (2026)

% 3. Build knock model (binary: 0=no knock, 1=knock) knock_model = mbcgp(data, 'Knock', 'Speed','Load','Timing', 'Distribution','binomial'); knock_model = fit(knock_model);

% Example: Create a space-filling design factors = 'Speed', 'Load', 'Timing'; range = [800 6000; % RPM 20 120; % Load (%) -10 30]; % Timing (deg) des = xydesign(factors, range, 'NumPoints', 50); scatter(des); % Visualize Load measured data from engine tests. mcc toolbox

gp = mbcgp(train, 'Response', 'Torque', 'Predictors', 'Speed','Load'); gp = fit(gp); plot(gp); % Check fit : Optimize timing cal = calset(torque_model

(best for non-linear):

% 4. Optimize timing cal = calset(torque_model, 'Goal','maximize', 'Response','Torque'); cal = addconstraint(cal, 'pred(knock_model) <= 0.1'); % knock probability <10% cal = setfactorrange(cal, 'Timing', -10, 30); optimal = optimize(cal); cal = addconstraint(cal

% Create a 2D lookup table lut = mbc2dlookup('filename.slx', table); writeblock(lut); Or generate C-array:

% 1. Load data load engine_data.mat % contains Speed, Load, Timing, Torque, Knock % 2. Build torque model torque_model = mbcgp(data, 'Torque', 'Speed','Load','Timing'); torque_model = fit(torque_model);