Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.

Bibliographic Details
Main Author: Baldan, Giancarlo
Other Authors: Munther Dahleh.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/103717
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author Baldan, Giancarlo
author2 Munther Dahleh.
author_facet Munther Dahleh.
Baldan, Giancarlo
author_sort Baldan, Giancarlo
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description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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spelling mit-1721.1/1037172019-04-12T23:33:39Z Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees Baldan, Giancarlo Munther Dahleh. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 139-143). In this thesis, we propose a novel feedback control scheme for unstable LTI systems performing noise attenuation via a finite-rate digital channel. In the first part of the thesis, we introduce the structure of the control system as well as the encoder and decoder used to transmit the required control signals along the digital channel. The performances of the proposed algorithm are then evaluated by providing explicit bounds on the peak-to-peak noise attenuation, in regards to the induced l[subscript infinity symbol] gain of the closed loop . This result is obtained by constructing a new class of storage functions that can be employed to verify the dissipativity of the closed loop system with respect to a suitable supply rate function. In the second part of the thesis, we examine the trade-off between the closed loop performances and the required rate of the channel. While the digital channel imposes some limitations on the achievable induced l[subscript infinity symbol] gain, we show how the performances of the proposed scheme can still approximate those achievable without communication constraints provided that the rate of the channel is large enough. A numerical optimization problem is then devised to design the parameters of the control scheme in order to minimize the strain on the channel while matching some prescribed constraints on the closed loop induced l[subscript infinity symbol] gain. by Giancarlo Baldan. Ph. D. 2016-07-18T20:03:47Z 2016-07-18T20:03:47Z 2016 2016 Thesis http://hdl.handle.net/1721.1/103717 953414504 eng 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. http://dspace.mit.edu/handle/1721.1/7582 143 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Baldan, Giancarlo
Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees
title Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees
title_full Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees
title_fullStr Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees
title_full_unstemmed Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees
title_short Low complexity quantized controllers for LTI systems : peak-to-peak performance guarantees
title_sort low complexity quantized controllers for lti systems peak to peak performance guarantees
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/103717
work_keys_str_mv AT baldangiancarlo lowcomplexityquantizedcontrollersforltisystemspeaktopeakperformanceguarantees