The list of the MATLAB files organized by chapter:
Eq2_26.m and Eq2_54.m The two main plant models (2.26) p.24
& (2.54) p.46.
Expl2_3.m Example 2.3 p.27
ExplX2_1.m EXTRA Example. Similar to Example 2.3, but for unstable plant
Expl2_5.m Example 2.5 p.38
Expl2_6.m Example 2.6 p.43
Expl2_7.m Example 2.7 p.46
Expl2_8.m Example 2.8 p.49
Expl2_9.m Example 2.9 p.52
Expl2_10.m Example 2.10 p.53
Expl2_11.m Example 2.11 p.60
Fig2_1.m Figure 2.1 p.17
Fig2_2.m Figure 2.2 p.18
Fig2_3.m Figure 2.3 p.20
Fig2_5.m and Fig2_6.m Figures 2.5 p.24 & 2.6 p.26
Tab2_1.m Table 2.1 p.36
Tab2_3.m Table 2.3 p. 60; See also Expl2_11.m
peaks.m used in Tab2_1.m
sysanaly.m used in Expl2_8.m
Chapter 3
ExplX3_1.m EXTRA example: Exact freq resp and RGA of MIMO plant with delay
Exe3_7.m Exercise 3.7 p.96
Exe3_8.m Exercise 3.8 p.96
Exe3_9.m Exercise 3.9 p.97
Expl3_6.m Example 3.6 p.75
Expl3_8.m Example 3.8 p.84
Fig3_5.m Figure 3.5 p.71
Rem3_372 Remark 3 in section 3.7.2, S-KS Design p.96
Sec3_7_1.m Section 3.7.1 Motivating robustness example no. 1, Spinning Satellite p.91
Sec3_7_2.m Section 3.7.2 Motivating robustness example no. 2, Distillation Process p.93
rga.m function to get RGA(G)
vrga.m function to get RGA(G) when G is varying matrix
condmin.m function to get minimized condition number
condmini.m function to get input minimized condition number
condmino.m function to get output minimized condition number
coprimeunc.m function for H-infinity loopshaping design
Chapter 4
izde.m ozde.m functions to compute input and output zero directions
ncopfac.m function to get normalized coprime factors p.119
Expl4_5.m Example 4.5 p.123
Expl4_11.m Example 4.11 p.134 - Compute pole and zero directions
Sec4_10.m Section 4.10 System norms, calculating examples p.151
Chapter 5
ExplX5_1.m EXTRA Example; Illustrates Bode's sens. integral; p. 167
Expl5_1.m Example 5.1 p.180
Expl5_2.m Example 5.2 p.186
Expl5_6.m Example 5.6 p.190
Exp15_7.m Example 5.7 p.192
Exp15_7s.m Utility simulink model for Example 5.7
Fig5_4.m Figure 5.4 p.168
Fig5_6.m Figure 5.6 p.173
Fig5_7.m Figures 5.7 p.176
Sec5_7.m Section 5.7 Non-casual controllers p.182
rhmodel.m Utility simulink model for Room heating example
RoomHeat.m Section 5.16.2 Application: Room heating p.203
NeutProc.m Section 5.16.3 Application: Neutralizing process p.205
Chapter 6
Exe6_2.m Exercise 6.2 p.221
Expl6_3.m Example 6.3 p.224
Expl6_7.m Example 6.7 p.242
Exp16_8.m Example 6.8 p.243
Expl6_9.m Example 6.9 p.243
skrpmu.m function to calculate skewed-mu
Chapter 7
Exp17_3.m Example 7.3 p.263
Exp17_4.m Example 7.4 p.265
Exp17_5.m Example 7.5 p.267
Exp17_6.m Example 7.6 p.271
Exp17_8.m Example 7.8 p.267
Fig7_2.m Figure 7.2 p.260
Fig7_8.m Figure 7.8 p.267
delay.m function to get frequency response of a
time delay used in Fig7_2.m and Fig7_8
maxrad.m function to get maximum radius, used in
Expl7_4.m for optimization
uncreg.m function to get uncertainty region, used
in Expl7_4.m and Fig7_2.m
Chapter 8
Exp18_9.m Example 8.9 p.319
Exp18_10.m Example 8.10 p.321
Fig8_15.m Figure 8.15 p.330 and Table 8.1 p.331
Fig8_16.m Figure 8.16 p.338
Sec8_124.m Section 8.12.4, DK-iteration, p.337,
and Table 8.2 p.339
d1data.m function to save D-scales data for plotting,
used in Sec8_124.m
Chapter 9
Exp19_1.m Example 9.1 p.357 (1st edition)
Exp19_1_NEW.m Example 9.3 p.381 (2nd edition)[alt.file]
Exp19_3.m Example 9.3 p.381
coprimeunc.m function for H-infinity loopshaping design
See Table 9.2 p.379
hinf2dof.m 2-DOF controller, Table 9.3 p.389
For example, see Aero2DOF.m for Section 12.3.3
Chapter 10
Expl10_2.m Example 10.2 p.411 (1st edition)
Expl10_2_NEW.m Example 10.2 p.411 (2md edition)
Expl10_7.m Example 10.7 p.430, compute PDG and generate Fig.10.7 (as in book)
Expl10_7s.m Example 10.7 p.430, simulations which confirm results in book
Expl10_10.m Example 10.10 p.445
hda.mat HDA process data file used in Expl10_2.m
Chapter 11
Sec11_61.m Section 11.6.1 p.456
aero0.mat Aero-engine model data file, used in Sec11_61.m
Sec11_62.m Section 11.6.2 p.459
aeroK.mat Controller model data file, used in Sec11_62.m
Tab11_2.m Table 11.2, p.466. Commands for model reduction
Tab11_3.m Table 11.3, p.466. Model reduction of unstable system
Chapter 12
12.2 Helicopter case study
Sec12_2.m Section 12.2 Helicopter case study p.470
db.m function to get db value, used in Sec12_2.m
12.3 Aero-engine case study
Sec12_32.m Section 12.3.2 Aero-engine case study,
Control structure design p.481
Sec12_33.m Section 12.3.3 Aero-engine case study,
Two degrees-of-freedom H_inf design p.486
Aero2DOF.m H_inf 2-DoF controller design example
see section 12.3.3 on p.486 and Table 9.3 on p.389
aero1.mat Aero-engine model part 1, used in Sec12_32.m and Sec12_33.m
aero2.mat Aero-engine model part 2, used in Sec12_32.m
align.m function to get real alignment, used in Sec12_33.m
12.4 Distillation case study
cola_commands.m Collection of useful commands for RGA, CLDG, PRGA, singular values, etc.See the other chapters for use of the idealized linear two-state LV-model in (12.17); see the summary on page 492 in the book for details.
Click here for details about the 82 state nonlinear distillation model and how to generate the ``full'' linear model. It is the basis for the following:
cola_G4.m Generates the linear model in G4.mat
G4.mat 82 state linear model with 6 inputs and 4 outputs, used in Tab12_3.m
Start MATLAB and write load G4 and help cola_G4
Tab12_3.m Table 12.3, p.491.
Generates linear models for various configurations.
The basis is G4 (full linear models with 82 states).
Sec12_42.m Section 12.4.2, p.494.
This is the 5 state linear LV-model used in the book.
It is very similar to the full 82-state model.
cola_test.m Simulate with nonlinear model and linearize