Reference-tracking feedforward control design for linear dynamical systems through signal decomposition

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Abstract

In this work, we study a novel approach towards the reference-tracking feedforward control design for linear dynamical systems. By utilizing the superposition property and exploiting signal decomposition together with a quadratic optimization process, we obtain a feedforward design procedure for arbitrary linear multi-input and multi-output (MIMO) systems with arbitrary time/parameter-varying characteristics. In other words, the proposed algorithm is applicable to the broad class of linear systems, i.e. linear-time-invariant (LTI), linear- time-varying (LTV) and linear-parameter-varying (LPV) systems. The interplay between the initial state, feedforward and feedback actions are elaborated in detail. The potential of the presented methodology is demonstrated through simulation examples.

Original languageEnglish
Title of host publication2017 American Control Conference, ACC 2017, 24-26 May 2017, Seatlle, Washington
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages2387-2392
Number of pages6
ISBN (Electronic)978-1-5090-5992-8
ISBN (Print)978-1-5090-4583-9
DOIs
Publication statusPublished - 29 Jun 2017
Event2017 American Control Conference (ACC 2017) - Sheraton Seattle Hotel, Seattle, United States
Duration: 24 May 201726 May 2017
http://acc2017.a2c2.org/

Conference

Conference2017 American Control Conference (ACC 2017)
Abbreviated titleACC 2017
CountryUnited States
CitySeattle
Period24/05/1726/05/17
Internet address

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