# __init__.py - initialization for control systems toolbox
#
# Author: Richard M. Murray
# Date: 24 May 09
#
# This file contains the initialization information from the control package.
#
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# $Id$

"""
The Python Control Systems Library :mod:`control` provides common functions
for analyzing and designing feedback control systems.

Documentation is available in two forms: docstrings provided with the code,
and the python-control users guide, available from `the python-control
homepage <https://www.python-control.org>`_.

The docstring examples assume that the following import commands::

  >>> import numpy as np
  >>> import control as ct

Available subpackages
---------------------

The main control package includes the most commpon functions used in
analysis, design, and simulation of feedback control systems.  Several
additional subpackages are available that provide more specialized
functionality:

* :mod:`~control.flatsys`: Differentially flat systems
* :mod:`~control.matlab`: MATLAB compatibility module
* :mod:`~control.optimal`: Optimization-based control

"""

# Import functions from within the control system library
# Note: the functions we use are specified as __all__ variables in the modules
from .bdalg import *
from .delay import *
from .descfcn import *
from .dtime import *
from .freqplot import *
from .lti import *
from .margins import *
from .mateqn import *
from .modelsimp import *
from .namedio import *
from .nichols import *
from .phaseplot import *
from .pzmap import *
from .rlocus import *
from .statefbk import *
from .statesp import *
from .stochsys import *
from .timeresp import *
from .xferfcn import *
from .ctrlutil import *
from .frdata import *
from .canonical import *
from .robust import *
from .config import *
from .sisotool import *
from .iosys import *
from .passivity import *

# Exceptions
from .exception import *

# Version information
try:
    from ._version import __version__
except ImportError:
    __version__ = "dev"

# Initialize default parameter values
reset_defaults()
