@@ -10,14 +10,14 @@ examples illustrating their use.
1010Overview of the Toolbox
1111-----------------------
1212
13- The python-control package is a set of python classes and functions
14- that implement common operations for the analysis and design of
15- feedback control systems. The initial goal is to implement all of the
16- functionality required to work through the examples in the textbook
17- Feedback Systems by Astrom and Murray. A MATLAB compatibility package
18- (control.matlab) is available that provides many of the common
19- functions corresponding to commands available in the MATLAB Control
20- Systems Toolbox.
13+ The python-control package is a set of python classes and functions that
14+ implement common operations for the analysis and design of feedback control
15+ systems. The initial goal is to implement all of the functionality required
16+ to work through the examples in the textbook ` Feedback Systems
17+ <http://www.cds.caltech.edu/~murray/FBSwiki> `_ by Astrom and Murray. A
18+ MATLAB compatibility package (control.matlab) is available that provides
19+ many of the common functions corresponding to commands available in the
20+ MATLAB Control Systems Toolbox.
2121
2222In addition to the documentation here, there is a project wiki that
2323contains some additional information about how to use the package
@@ -37,10 +37,9 @@ some thing to keep in mind:
3737
3838* You must include commas in vectors. So [1 2 3] must be [1, 2, 3].
3939* Functions that return multiple arguments use tuples
40- * Can't use braces for collections; use tuples instead
41- * Transfer functions are only implemented for SISO systems (due to
42- limitations in the underlying signals.lti class); use state space
43- representations for MIMO systems.
40+ * You cannot use braces for collections; use tuples instead
41+ * Transfer functions are currently only implemented for SISO systems; use
42+ state space representations for MIMO systems.
4443
4544Getting Started
4645---------------
@@ -52,15 +51,16 @@ Getting Started
52513. To see if things are working correctly, run ipython -pylab and run
5352 the script 'examples/secord-matlab.py'. This should generate a
5453 step response, Bode plot and Nyquist plot for a simple second order
55- system.
54+ system. (For more detailed tests, run nosetests in the main directory.)
5655
57564. To see the commands that are available, run the following commands in
5857 ipython::
5958
6059 >>> import control
61- >>> ?control.matlab
60+ >>> ?control
6261
63625. If you want to have a MATLAB-like environment for running the control
6463 toolbox, use::
6564
6665 >>> from control.matlab import *
66+ >>> ?control.matlab
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