operator.dat

一个用MATLAB编写的优化控制工具箱

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% This file obtained from the web site (on 3/29/99)
% 
% http://neural.cs.nthu.edu.tw/jang/benchmark/
% 
% that is the 
% IEEE Neural Networks Council Standards Committee
% Working Group on Data Modeling Benchmarks
%
% Comment from that web site:
%
% The goal of the Working Group on Data Modeling Benchmarks (under IEEE Neural Networks Council 
% Standards Committee) is to provide an easy access to references to modeling 
% approaches and related datasets via WWW. Hopefully this can facilitate further 
%  research and comparisons on computational data modeling approaches, including artificial 
% neural networks, fuzzy inference systems, CART, MARS, and all nonlinear regression 
% and optimization techniques. 
%
% This page is constantly under construction, but the lists of datasets/publications 
% are by no means complete. If you have new datasets/papers and would like to
% put them here, please send me an email ([e-mail]) to let me know where 
% to link them. Any feedbacks and suggestions are also highly welcome. 
%
% J.-S. Roger Jang
% CS Dept., Tsing Hua Univ., Taiwan 
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%
% This particular data set was taken from the paper:
%
% @ARTICLE{SugY93,
%               AUTHOR = {M. Sugeno and T. Yasukawa},
%               TITLE = {A fuzzy-logic-based approach to qualitative modeling},
%               JOURNAL = {IEEE Trans. on Fuzzy Systems},
%               YEAR = {1993},
%               VOLUME = {1},
%               NUMBER = {1},
%               PAGES = {7-31},
%               MONTH = feb}
% where the development of fuzzy models for it is studied.
%
% Suppose you are given data from how a human operator controls a chemical plant.
% In particular, suppose that the operator has indications of monomer concentration (u1),
% change in monomer concentration (u2), monomer flow rate (u3), some local temperatures
% in the plant (u4, u5), and with these makes decisions on how to set the set point for the 
% monomer flow rate (y).  Here, the actual value of the monomer flow rate to be put
% into the plant is controlled by a PID controller.  Below, there are 70 data pairs.
%
% Inputs u1(k),u2(k),u3(k),u4(k),u5(k), output y(k) (last column);
     6.80    -0.05     401.00    -0.20    -0.10     500.00
     6.59    -0.21     464.00    -0.10     0.10     700.00
     6.59     0.00     703.00    -0.10     0.10     900.00
     6.50    -0.09     797.00     0.10     0.10     700.00
     6.48    -0.02     717.00    -0.10     0.10     700.00
     6.54     0.06     706.00    -0.20     0.10     800.00
     6.45    -0.09     784.00     0.00     0.10     800.00
     6.45     0.00     794.00    -0.20     0.10     800.00
     6.20    -0.25     792.00     0.00     0.00     1000.00
     6.02    -0.18     1211.00     0.00     0.10     1400.00
     5.80    -0.22     1557.00    -0.20     0.00     1600.00
     5.51    -0.29     1782.00    -0.10     0.00     1900.00
     5.43    -0.08     2206.00    -0.10     0.10     2300.00
     5.44     0.01     2404.00    -0.10    -0.10     2500.00
     5.51     0.07     2685.00     0.10     0.00     2800.00
     5.62     0.11     3562.00    -0.40     0.10     3700.00
     5.77     0.15     3629.00    -0.10     0.00     3800.00
     5.94     0.17     3701.00    -0.20     0.10     3800.00
     5.97     0.03     3775.00    -0.10     0.00     3800.00
     6.02     0.05     3829.00    -0.10    -0.10     3900.00
     5.99    -0.03     3896.00     0.20    -0.10     3900.00
     5.82    -0.17     3920.00     0.20    -0.10     3900.00
     5.79    -0.03     3895.00     0.20    -0.10     3900.00
     5.65    -0.14     3887.00    -0.10     0.00     3900.00
     5.48    -0.17     3930.00     0.20     0.00     4000.00
     5.24    -0.24     4048.00     0.10     0.00     4400.00
     5.04    -0.20     4448.00     0.00     0.00     4700.00
     4.81    -0.23     4462.00     0.00     0.10     4900.00
     4.62    -0.19     5078.00    -0.30     0.30     5200.00
     4.61    -0.01     5284.00    -0.10     0.20     5400.00
     4.54    -0.07     5225.00    -0.30     0.10     5600.00
     4.71     0.17     5391.00    -0.10     0.00     6000.00
     4.72     0.01     5668.00     0.00    -0.10     6000.00
     4.58    -0.14     5844.00    -0.20     0.10     6100.00
     4.55    -0.03     6068.00    -0.20     0.00     6400.00
     4.59     0.04     6250.00    -0.20    -0.10     6400.00
     4.65     0.06     6358.00    -0.10    -0.10     6400.00
     4.70     0.05     6368.00    -0.10     0.00     6400.00
     4.81     0.11     6379.00    -0.30     0.00     6400.00
     4.84     0.03     6412.00    -0.10    -0.10     6400.00
     4.83    -0.01     6416.00     0.10    -0.10     6500.00
     4.76    -0.07     6514.00     0.00     0.00     6600.00
     4.77     0.01     6587.00    -0.10     0.10     6600.00
     4.77     0.00     6569.00     0.00    -0.10     6600.00
     4.77     0.00     6559.00     0.00     0.00     6700.00
     4.73    -0.04     6672.00     0.00     0.00     6700.00
     4.73     0.00     6844.00    -0.10     0.00     6800.00
     4.74     0.01     6775.00    -0.20     0.00     6800.00
     4.77     0.03     6779.00     0.00    -0.10     6800.00
     4.71    -0.06     6783.00     0.00     0.00     6800.00
     4.66    -0.05     6816.00     0.00     0.00     6800.00
     4.70     0.04     6812.00     0.00     0.00     6800.00
     4.63    -0.07     6849.00     0.00     0.00     6800.00
     4.61    -0.02     6803.00     0.00     0.00     6800.00
     4.57    -0.04     6832.00     0.00     0.10     6800.00
     4.56    -0.01     6832.00    -0.10     0.10     6900.00
     4.54    -0.02     6862.00    -0.10    -0.10     7000.00
     4.51    -0.03     6958.00     0.10    -0.10     7000.00
     4.47    -0.04     6998.00     0.00     0.10     7000.00
     4.47     0.00     6986.00    -0.10     0.10     7000.00
     4.48     0.01     6975.00     0.00     0.00     7000.00
     4.48     0.00     6973.00     0.00     0.00     7000.00
     4.50     0.02     7006.00     0.00     0.10     7000.00
     4.50     0.00     7027.00     0.00     0.00     7000.00
     4.48    -0.02     7032.00     0.00     0.00     7000.00
     4.54     0.06     6995.00     0.00     0.00     7000.00
     4.57     0.03     6986.00     0.10    -0.10     7000.00
     4.56    -0.01     7009.00    -0.10     0.10     7000.00
     4.56     0.00     7022.00     0.00     0.00     7000.00
     4.57     0.01     6998.00    -0.10     0.00     7000.00