Framework for discrete-time model reference adaptive control of weakly nonlinear systems with HONUs

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F19%3A00331936" target="_blank" >RIV/68407700:21220/19:00331936 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-16469-0_13" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-16469-0_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-16469-0_13" target="_blank" >10.1007/978-3-030-16469-0_13</a>

Result language
angličtina
Original language name
Framework for discrete-time model reference adaptive control of weakly nonlinear systems with HONUs
Original language description
This paper reviews the Higher Order Nonlinear Units (HONUs) and their fundamental supervised sample-by-sample and batch learning algorithms for data-driven controller learning when only measured data are known about the plant. We recall recently introduced conjugate gradient batch learning for weakly nonlinear plant identification with HONUs and we compare its performance to classical Levenberg-Marquard (LM). Further, we recall recursive least square (RLS) adaptation and compare its performance to L-M learning both for plant approximation and controller tuning. Further, a model reference adaptive control (MRAC) strategy with efficient controller learning for linear and weakly nonlinear plants is proposed with static HONUs that avoids recurrent computations, and its potentials and limitations with respect to plant nonlinearity are discussed. Recently developed stability approach for recurrent HONUs and for closed control loops with linear plant and nonlinear (HONU) controller is recalled and discussed in connotation stability of the adaptive closed control loop.
Czech name
—
Czech description
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Project
<a href="/en/project/EF16_019%2F0000826" target="_blank" >EF16_019/0000826: Center of Advanced Aerospace Technology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
9th International Joint Conference, IJCCI 2017 Funchal-Madeira, Portugal, November 1-3, 2017 Revised Selected Papers
ISBN
978-3-030-16468-3
ISSN
1860-949X
e-ISSN
—
Number of pages
24
Pages from-to
239-262
Publisher name
Springer, Cham
Place of publication
—
Event location
Funchal
Event date
Nov 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502373700013

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