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        <identifier>oai:www.ideals.illinois.edu:2142/102798</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Hovakimyan, Naira</dc:contributor>
          <dc:contributor>Hovakimyan, Naira</dc:contributor>
          <dc:contributor>Sha, Lui</dc:contributor>
          <dc:contributor>Voulgaris, Petros</dc:contributor>
          <dc:contributor>Salapaka, Srinivasa</dc:contributor>
          <dc:creator>Jafarnejadsani, Hamidreza</dc:creator>
          <dc:date>2019-02-07T20:35:58Z</dc:date>
          <dc:date>2019-02-07T20:35:58Z</dc:date>
          <dc:date>2021-02-08T10:15:25Z</dc:date>
          <dc:date>2018-11-21</dc:date>
          <dc:date>2018-12</dc:date>
          <dc:description>This dissertation extends the L1 adaptive control theory to sampled-data (SD) framework. Multi-input multi-output non-square (underactuated) systems are considered with different sampling rates for inputs and outputs. The sampled-data framework allows to address non-minimum phase systems, subject to less restrictive assumptions as compared to continuous time framework. It is shown that the closed-loop system can recover the response of a continuous-time reference system as the sampling time of the SD controller tends to zero. In this thesis, the L1 sampled data adaptive controller is integrated with the Simplex fault-tolerant architecture for resilient control of cyber-physical systems (CPSs). Detection and mitigation of zero-dynamics attacks are addressed and validated in flight tests of a quadrotor in Intelligent Robotics Laboratory of UIUC. The experiments show that the multirate L1 controller can e effectively detect stealthy zero-dynamics attacks and recover the stability of the perturbed system, where the single-rate conventional L1 adaptive controller fails.
From the perspective of applications, the dissertation considers navigation and control of autonomous vehicles and proposes a two-loop framework, in which the high-level reference commands are limited by a saturation function, while the low-level controller tracks the reference by compensating for disturbances and uncertainties. A class of nested, uncertain, multi-input multi-output (MIMO) systems subject to reference command saturation, possibly with non-minimum phase zeros, is considered. Robust stability and performance of the overall closed-loop system with command saturation and multirate L1 adaptive controller are analyzed.
Finally, a systematic analysis and synthesis method is proposed for the optimal design of  filters in the L1 adaptive output-feedback structure, where the lowpass filter is the key to the trade-off  between the performance and robustness of the closed-loop system. An optimization problem is formulated using the constraint on the input time-delay margin and a cost-function based on mixed L1/H2-norm performance measure. The optimization problem can be efficiently solved using linear/quadratic programming.
We note that the framework of this dissertation and the multi-loop problem formulation of navigation and control of autonomous systems provide suitable synthesis and analysis tools for autonomous cyber-physical systems (CPSs), including self-driving cars, unmanned aerial vehicles (UAVs), and industrial/medical robots, to name just a few. The SD design facilitates the implementation of control laws on digital computers in CPSs, where the input/output signals are available at discrete time instances with different sampling rates.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-12-01</dc:description>
          <dc:description>The student, Hamidreza Jafarnejadsani, accepted the attached license on 2018-11-19 at 12:24.</dc:description>
          <dc:description>The student, Hamidreza Jafarnejadsani, submitted this Dissertation for approval on 2018-11-19 at 13:00.</dc:description>
          <dc:description>This Dissertation was approved for publication on 2018-11-21 at 10:30.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #13099 on 2019-02-07 at 14:17:36</dc:description>
          <dc:description>Made available in DSpace on 2019-02-07T20:35:58Z (GMT). No. of bitstreams: 2
JAFARNEJADSANI-DISSERTATION-2018.pdf: 5063483 bytes, checksum: ccbdbdfc53402870c30790cb341e0e6a (MD5)
LICENSE.txt: 4221 bytes, checksum: 8f7b049ae365f0eda87fab60e9be56c4 (MD5)
  Previous issue date: 2018-11-21</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 109822
Lift date: 2021-02-07T20:36:09Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 109822
Lift date: 2021-02-07T20:39:46Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 109822
Lift date: 2021-02-07T20:44:35Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 109822 on 2021-02-08T10:15:25Z.</dc:description>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>http://hdl.handle.net/2142/102798</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2018 Hamidreza Jafarnejadsani</dc:rights>
          <dc:subject>cyber-physical security</dc:subject>
          <dc:subject>sampled-data systems</dc:subject>
          <dc:subject>multi-level multirate control</dc:subject>
          <dc:subject>L1 adaptive output-feedback control</dc:subject>
          <dc:subject>uncertain multi-input multi-output systems</dc:subject>
          <dc:subject>non-minimum phase systems</dc:subject>
          <dc:subject>zero-dynamics attack</dc:subject>
          <dc:subject>filter optimization</dc:subject>
          <dc:title>Robust adaptive sampled-data control design for MIMO systems: Applications in cyber-physical security</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Mechanical Sci &amp; Engineering</department>
            <discipline>Mechanical Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
        </thesis>
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