<node id="667139">
  <nid>667139</nid>
  <type>event</type>
  <uid>
    <user id="27707"><![CDATA[27707]]></user>
  </uid>
  <created>1680800606</created>
  <changed>1681746376</changed>
  <title><![CDATA[PhD Proposal by Manan Gandhi]]></title>
  <body><![CDATA[<p><strong>Manan Gandhi</strong></p>

<p><br />
<strong>(Advisor: Prof. Evangelos Theodorou) will propose a doctoral thesis entitled,<br />
Decision-Making Architectures for Control of Uncertain Systems<br />
On<br />
Wednesday, April 19th at 01:00 p.m.</strong></p>

<p><strong>Engineering, Science, and Mechanics Building 108</strong></p>

<p><br />
<strong>Abstract<br />
From aggressive driving, to drone racing, to cardiovascular control, each of these problems&nbsp;<br />
involves uncertain dynamics and a requirement to make decisions. There are classical and modern&nbsp;<br />
techniques for controlling dynamical systems which can favor safety, exploration, control&nbsp;<br />
performance, or other criteria. Information Theoretic Model Predictive Control (IF-MPC) has been&nbsp;<br />
utilized to significant effect for autonomous racing by optimizing the system free energy through&nbsp;<br />
forward sampling. This dissertation explores the ideas of incorporating safety directly into&nbsp;<br />
importance sampling for the control of uncertain systems. The underpinnings of Model Predictive&nbsp;<br />
Path Integral control are presented with its connections to both Information Theory and Bayesian&nbsp;<br />
inference. Current research on model learning for biological systems is presented with the aim of&nbsp;<br />
using more advanced control techniques. The core of the thesis is the development of a framework to&nbsp;<br />
perform safe model predictive control of stochastic dynamical systems while taking advantage of&nbsp;<br />
traditional control techniques to make decisions during operation. In the development of this novel&nbsp;<br />
framework, the foundation of modern, safe control is presented, along with state-of-the-art&nbsp;<br />
developments to enable safe control with fewer theoretical and computational restrictions. This&nbsp;<br />
work builds upon the idea of augmented importance sampling in IF-MPC to handle robustness, safety,&nbsp;<br />
and uncertainty in a general system. The control architecture presented here can handle both soft&nbsp;<br />
and hard constraints on the state of a dynamical system, as well as balance task completion with&nbsp;<br />
the notion of safety.</strong></p>

<p><br />
<strong>Committee<br />
● Prof. Evangelos Theodorou – School of Aerospace Engineering (advisor)<br />
● &nbsp;Prof. Wassim Haddad – School of Aerospace Engineering<br />
● &nbsp;Prof. Jonathan Rogers– School of Aerospace Engineering<br />
● &nbsp;Prof. Naira Hovakimyan– School of Mechanical Science and Engineering, University of Illinois at&nbsp;<br />
Urbana-Champaign<br />
● &nbsp;David Kozlowski – Distinguished Member of Technical Staff, Sandia National Laboratories<br />
● &nbsp;Dr. Demetri Yannopoulos – Department of Medicine Cardiovascular Division, University of&nbsp;<br />
Minnesota</strong><br />
&nbsp;</p>
]]></body>
  <field_summary_sentence>
    <item>
      <value><![CDATA[Decision-Making Architectures for Control of Uncertain Systems]]></value>
    </item>
  </field_summary_sentence>
  <field_summary>
    <item>
      <value><![CDATA[<p>See abstract</p>
]]></value>
    </item>
  </field_summary>
  <field_time>
    <item>
      <value><![CDATA[2023-04-19T13:00:54-04:00]]></value>
      <value2><![CDATA[2023-04-19T15:00:54-04:00]]></value2>
      <rrule><![CDATA[]]></rrule>
      <timezone><![CDATA[America/New_York]]></timezone>
    </item>
  </field_time>
  <field_fee>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_fee>
  <field_extras>
      </field_extras>
  <field_audience>
          <item>
        <value><![CDATA[Faculty/Staff]]></value>
      </item>
          <item>
        <value><![CDATA[Public]]></value>
      </item>
          <item>
        <value><![CDATA[Graduate students]]></value>
      </item>
      </field_audience>
  <field_media>
      </field_media>
  <field_contact>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_contact>
  <field_location>
    <item>
      <value><![CDATA[Engineering, Science, and Mechanics Building 108]]></value>
    </item>
  </field_location>
  <field_sidebar>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_sidebar>
  <field_phone>
    <item>
      <value><![CDATA[]]></value>
    </item>
  </field_phone>
  <field_url>
    <item>
      <url><![CDATA[]]></url>
      <title><![CDATA[]]></title>
            <attributes><![CDATA[]]></attributes>
    </item>
  </field_url>
  <field_email>
    <item>
      <email><![CDATA[]]></email>
    </item>
  </field_email>
  <field_boilerplate>
    <item>
      <nid><![CDATA[]]></nid>
    </item>
  </field_boilerplate>
  <links_related>
      </links_related>
  <files>
      </files>
  <og_groups>
          <item>221981</item>
      </og_groups>
  <og_groups_both>
          <item><![CDATA[Graduate Studies]]></item>
      </og_groups_both>
  <field_categories>
          <item>
        <tid>1788</tid>
        <value><![CDATA[Other/Miscellaneous]]></value>
      </item>
      </field_categories>
  <field_keywords>
          <item>
        <tid>102851</tid>
        <value><![CDATA[Phd proposal]]></value>
      </item>
      </field_keywords>
  <userdata><![CDATA[]]></userdata>
</node>
