<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T02:23:53Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/101543" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/101543</identifier><datestamp>2022-01-13T07:54:05Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Domitilla Del Vecchio.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Huang, Geng, S.M. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2016-03-03T21:07:50Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-03-03T21:07:50Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/101543</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">940562803</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 69-74).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, I consider the problem of designing a collision avoidance system for the scenario in which two cars approach an intersection from perpendicular directions. One of the cars is a human driven vehicle, and the other one is a semi-autonomous vehicle, equipped with a driver-assist system. The driver-assist system should warn the driver of the semi-autonomous vehicle to brake or accelerate if potential dangers of collision are detected. Then, if the system detects that the driver disobeys the warning, the system can override the behavior of the driver to guarantee safety if necessary. A hybrid automaton model with hidden modes is used to solve the problem. A disturbance estimator is used to estimate the driver's reaction to the warning. Then, with the help of a mode estimator, the hybrid system with hidden modes is translated to a hybrid system with perfect state information. Finally, we generalize the solution for the application example to the solution of safety control problem for general hybrid system with hidden modes when the hybrid system satisfies some proposed constraints and assumptions.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Geng Huang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">74 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Computation of safety control for hybrid system with applications to intersection collision avoidance system</dim:field>
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	&lt;Language>eng&lt;/Language>
   	&lt;Title>Computation of safety control for hybrid system with applications to intersection collision avoidance system&lt;/Title>
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   	&lt;PublicationDate>2015&lt;/PublicationDate&gt;
   	&lt;Authors>
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        	&lt;DisplayName>Huang, Geng, S.M. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>In this thesis, I consider the problem of designing a collision avoidance system for the scenario in which two cars approach an intersection from perpendicular directions. One of the cars is a human driven vehicle, and the other one is a semi-autonomous vehicle, equipped with a driver-assist system. The driver-assist system should warn the driver of the semi-autonomous vehicle to brake or accelerate if potential dangers of collision are detected. Then, if the system detects that the driver disobeys the warning, the system can override the behavior of the driver to guarantee safety if necessary. A hybrid automaton model with hidden modes is used to solve the problem. A disturbance estimator is used to estimate the driver&amp;apos;s reaction to the warning. Then, with the help of a mode estimator, the hybrid system with hidden modes is translated to a hybrid system with perfect state information. Finally, we generalize the solution for the application example to the solution of safety control problem for general hybrid system with hidden modes when the hybrid system satisfies some proposed constraints and assumptions.&lt;/Abstract>
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