Prerequisite 2.151 or similar subject
Instructor in charge Professor H. Harry Asada
Ford Professor of Mechanical Engineering
asada@mit.edu, Room 3-346, x3-6257
Office Hours Monday and Wednesday, 2:30 pm ~ 3:00 pm, Tuesday 4:00 pm ~ 5:00 pm
Course Secretary Amy Shea, amyshea@mit.edu , Room 3-348, x3-2204
Class Monday and Wednesday, 1:00 pm ~ 2:30 pm, Room 1-273
Lecture1 Lecture2 Lecture3 Lecture4 Lecture5
Lecture6 Lecture7 Lecture8 Lecture9 Lecture10
Lecture11 Lecture12 Lecture13 Lecture14 Lecture15
Lecture16 Lecture17 Lecture18 Lecture19 Lecture20
Lecture21 Lecture22(complete) Lecture23(complete) Lecture24(complete) Lecture25(complete)
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Use the following data files for Problem 3
Data: The true thetas are given so that you can compare your RLS results with the true values.
1.Test data: input output Theta=[5 -2 3]¡¯
Test data is used for you to test your code.
2.Data for the questions
a) input(u) output(y) theta_1 theta_2 theta_3
b) input(u) output(y) theta_1 theta_2 theta_3
Use the following data files for Problem 3
-If you have any questions on how to use the files, please contact Levi Wood (woodl@mit.edu)
Reference ¡°Good¡± Signal
Data Set 1
Corrupted Data Noise Reference
Data Set 2
Corrupted Data Noise Reference
Notes:
1) Relationship between file names and labels in Figure 2 of Problem Set 3
File Names Figure 2 Labels
¡°GoodPPG¡± yo
¡°CorruptedPPG¡± y
¡°acceleration¡± a
2) There is one ¡°GoodPPG¡± reference signal that can be used to compare your
¡°recovered¡± signals, z, with for both data sets.
3) One of the data sets is ¡°tricky.¡± Can you explain why you are getting strange results?
4) How do you think you should choose the filter order?
5) Levi Wood will be available to help you on Monday and Tuesday
Office Hours: room 3-351 Monday, Feb 27th 4-5pm
Tuesday, Feb 28th 4-5pm
By Appointment: woodl@mit.edu
Also feel free to ask questions by email.
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At = [0.8500 0.1500 0.0500; 0.0500 0.7000 0; 0.0500 -0.0500 0.7500]
Bt = [10.0000;0;14.2103]
Gt = [1;1;1]
Ht = [1 0 0]
Rt = 2.9862
Qt = 1.0129
The actual X1(dTe) X2(dTw) X3(dL2) are given for comparison with the results estimated from the Kalman Filter.
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All the data was derived from a yorkshire swine using a sampling rate of 100 Hz.
The input data (AorticFlowInput.txt) was measured in the root of the ascending aorta just outside the heart
and the output blood pressure data (BloodPressureOutput.txt) was measure in the radial artery (in the lower arm).
Standard units were used in collecting this physiological data.
The units for aortic flow are liters/minute and for blood pressure are millimeters of mercury (mmHg).
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PS 6 PS 7 PS 8