.. _sphx_glr_auto_examples_others:

Other examples
--------------

Here we include other examples that are not (strictly) related to MPC and RL.



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    <div class="sphx-glr-thumbnails">

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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to use the mpcrl.util.geometry.ConvexPolytopeUniformSampler to sample uniformly from the interior and surface of a convex polytope in a N-dimensional space.">

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  .. image:: /auto_examples/others/images/thumb/sphx_glr_sampling_from_polytopes_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_others_sampling_from_polytopes.py`

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      <div class="sphx-glr-thumbnail-title">Sampling from a convex polytopes</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the use of Input Constrained Control Barrier Functions (ICCBFs) in the context of the Adaptive Cruise Control (ACC) problem, taken from [1]_. The ACC problem is a classic control problem where a vehicle is tasked with maintaining a desired velocity while keeping a safe distance from the vehicle in front. This safety constraint is enforced using a ICCBF, which is a class of CBFs that can handle the case where the control input is constrained in its norm.">

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  .. image:: /auto_examples/others/images/thumb/sphx_glr_acc_with_iccbf_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_others_acc_with_iccbf.py`

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      <div class="sphx-glr-thumbnail-title">Adapative Cruise Control with Input Constrained Control Barrier Function</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_examples/others/sampling_from_polytopes
   /auto_examples/others/acc_with_iccbf