The
list of the MATLAB files organized by chapter:
Eq2_31.m
and Eq2_62.m
The two main plant models (2.31) p.26
& (2.62) p.47.
Expl2_4.m
Example 2.4 p.29
Expl2_5.m
Example 2.5 p.30
Expl2_7.m
Example 2.7 p.39
Expl2_8.m
Example 2.8 p.44
Expl2_9.m
Example 2.9 p.47
Expl2_10.m
Example 2.10 p.49
Expl2_11.m
Example 2.11 p.52
Expl2_12.m
Example 2.12 p.53
Expl2_17.m
Example 2.17 p.52
Fig2_1.m
Figure 2.1 p.17
Fig2_2.m
Figure 2.2 p.17
Fig2_3.m
Figure 2.3 p.20
Fig2_6.m
and Fig2_7.m
Figures 2.6 p.26 & 2.7 p.28
Tab2_1.m
Table 2.1 p.36
Tab2_4.m
Table 2.4 p. 64; See also Expl2_11.m
peaks.m
used in Tab2_1.m
sysanaly.m
used in Expl2_10.m
ExplX3_1.m
EXTRA example: Exact freq resp and RGA of MIMO
plant with delay
Expl3_3.m
Example 3.3 p.73
Expl3_11.m
Example 3.11 p.86
Expl3_17.m
Example 3.17 p.96
Fig3_6.m
Figure 3.6 p.74
Fig3_14.m
Figure 3.14 p.101
Rem3_372
Remark 3 in section 3.7.2, S-KS Design p.102
Sec3_7_1.m
Section 3.7.1 Motivating robustness example no. 1, Spinning Satellite p.98
Sec3_7_2.m
Section 3.7.2 Motivating robustness example no. 2, Distillation Process p.100
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
izde.m ozde.m
functions to compute input and output zero directions
ncopfac.m
function to get normalized coprime factors p.124
Expl4_5.m
Example 4.5 p.130
Expl4_13.m
Example 4.13 p.140 - Compute pole and zero directions
Sec4_10.m
Section 4.10 System norms, calculating examples p.156
ExplX5_1.m
EXTRA Example; Illustrates Bode's sens. integral; p. 170
Expl5_6_7.m
Examples 5.6 p.184 and 5.7 p.187
Expl5_9.m
Example 5.9 p.196
Expl5_12.m
Example 5.12 p.200
Expl5_13.m
Example 5.13 p.202
Expl5_13s.m
Utility simulink model for Example 5.13
Fig5_4.m
Figure 5.4 p.170
Fig5_6.m
Figure 5.6 p.183
Fig5_7.m
Figures 5.7 p.185
Fig5_9.m
Figures 5.9 p.190
Sec5_15_2.m
Section 5.15.2 Room heating p.211
Sec5_15_3.m
Section 5.15.3 Neutralization process p.213
rhmodel.m
Utility simulink model for Room heating example
RoomHeat.m
Section 5.16.2 Application: Room heating p.211
NeutProc.m
Section 5.16.3 Application: Neutralizing process p.213
Chapter 6
Expl6_3.m
Example 6.3 p.227
Expl6_9.m
Example 6.9 p.245
Expl6_11.m
Example 6.11 p.250
Expl6_12.m
Example 6.12 p.251
skrpmu.m
function to calculate skewed-mu
Expl7_6.m
Example 7.6 p.269
Expl7_7.m
Example 7.7 p.271
Expl7_9.m
Example 7.9 p.277
Expl7_11.m
Example 7.11 p.283
Fig7_2.m
Figure 7.2 p.266
Fig7_8.m
Figure 7.8 p.272
maxrad.m
function to get maximum radius, used in
Expl7_7.m for optimization
uncreg.m
function to get uncertainty region, used
in Expl7_7.m and Fig7_2.m
Expl8_9.m
Example 8.9 p.314
Expl8_10.m
Example 8.10 p.315
Fig8_15.m
Figure 8.15 p.323 and Table 8.1 p.325
Fig8_16.m
Figure 8.16 p.330
Sec8_124.m
Section 8.12.4, DK-iteration, p.330,
and Table 8.2 p.331
Expl9_1.m
Example 9.1 p.347
Expl9_3.m
Example 9.3 p.368
coprimeunc.m
function for H-infinity loop shaping design
See Table 9.2 p.379
hinf2dof.m
2-DOF controller, Table 9.3 p.375
For example, see Aero2DOF.m for Section 13.3.3
Expl10_10.m
Example 10.10 p.413
Expl10_12.m
Example 10.12 p.425
Expl10_15.m
Example 10.15 p.432
Expl10_23.m
Example 10.23 p.451
Sec11_5.m
Section 11.5 p.459
Sec11_81.m
Section 11.8.1 p.463
aero0.mat
Aero-engine model data file, used in Sec11_81.m
Sec11_82.m
Section 11.8.2 p.466
aeroK.mat
Controller model data file, used in Sec11_62.m
Chapter 11
Sec12_42.m
Section 12.4.2 p.487
13.2 Helicopter case study
Sec13_2.m
Section 13.2 Helicopter case study p.493
db.m
function to get db value, used in Sec13_2.m
13.3 Aero-engine
case study
Sec13_32.m
Section 13.3.2 Aero-engine case study,
Control structure design p.502
Sec13_33.m
Section 13.3.3 Aero-engine case study,
Two degrees-of-freedom H_inf design p.506
Aero2DOF.m
H_inf 2-DoF controller design example
see section 13.3.3 on p.506 and Table 9.3 on p.375
aero1.mat
Aero-engine model part 1, used in Sec13_32.m and Sec13_33.m
aero2.mat
Aero-engine model part 2, used in Sec13_32.m
align.m
function to get real alignment, used in Sec13_33.m
13.4 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
Tab13_3.m
Table 13.3, p.510.
Generates linear models for various configurations.
The basis is G4 (full linear models with 82 states).
Sec13_42.m
Section 13.4.2, p.512.
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