www.gusucode.com > 模糊控制工具箱 fuzzy logic toolbox源码程序 > fuzzy/fuzdemos/drydata.m
% collect hair dryer data % data format: % [y(k) y(k-1) y(k-2) y(k-3) y(k-4) % u(k-1) u(k-2) u(k-3) u(k-4) u(k-5) u(k-6)] % Copyright 1994-2002 The MathWorks, Inc. % $Revision: 1.7 $ load dryer2 data_n = length(y2); output = y2; input = [[0; y2(1:data_n-1)] ... [0; 0; y2(1:data_n-2)] ... [0; 0; 0; y2(1:data_n-3)] ... [0; 0; 0; 0; y2(1:data_n-4)] ... [0; u2(1:data_n-1)] ... [0; 0; u2(1:data_n-2)] ... [0; 0; 0; u2(1:data_n-3)] ... [0; 0; 0; 0; u2(1:data_n-4)] ... [0; 0; 0; 0; 0; u2(1:data_n-5)] ... [0; 0; 0; 0; 0; 0; u2(1:data_n-6)]]; data = [input output]; data(1:6, :) = []; input_name = str2mat('y(k-1)', 'y(k-2)', 'y(k-3)', 'y(k-4)', ... 'u(k-1)', 'u(k-2)', 'u(k-3)', 'u(k-4)', 'u(k-5)', 'u(k-6)'); %input_name = str2mat('y(k)', 'y(k-1)', 'y(k-2)', 'y(k-3)', ... % 'u(k)', 'u(k-1)', 'u(k-2)', 'u(k-3)', 'u(k-4)', 'u(k-5)'); trn_data_n = 300; % No. of training data pairs index = 1:100; subplot(2,1,1); plot(index, y2(index), '-', index, y2(index), 'o'); ylabel('y(k)'); subplot(2,1,2); plot(index, u2(index), '-', index, u2(index), 'o'); ylabel('u(k)');