Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Finite-differential nonsmooth speed-gradient control : Stability, passivity, robustness. / Dolgopolik, M. V.; Fradkov, A. L.
в: SIAM Journal on Control and Optimization, Том 59, № 2, 2021, стр. 1370-1392.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Finite-differential nonsmooth speed-gradient control
T2 - Stability, passivity, robustness
AU - Dolgopolik, M. V.
AU - Fradkov, A. L.
N1 - Publisher Copyright: © 2021 Society for Industrial and Applied Mathematics. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - New combined finite-differential versions of nonsmooth speed-gradient (SG) algorithms are proposed and examined. Sufficient conditions for stability and robustness of the closed loop system are established. In addition, new passivity definitions suitable for the nonsmooth setting are proposed and passivity of the system with nonsmooth SG algorithms is examined. The proposed finite-differential algorithms possess enhanced dynamic properties and provide extra flexibility for control system design. Particularly, they may operate under a broad uncertainty of plant parameters and disturbances, and they have improved convergence rate and robustness. An illustrative example of adaptive control of Duffing system demonstrates better performance of a combination of smooth and nonsmooth finite-differential SG-algorithms in comparison with performance of the smooth or nonsmooth algorithm.
AB - New combined finite-differential versions of nonsmooth speed-gradient (SG) algorithms are proposed and examined. Sufficient conditions for stability and robustness of the closed loop system are established. In addition, new passivity definitions suitable for the nonsmooth setting are proposed and passivity of the system with nonsmooth SG algorithms is examined. The proposed finite-differential algorithms possess enhanced dynamic properties and provide extra flexibility for control system design. Particularly, they may operate under a broad uncertainty of plant parameters and disturbances, and they have improved convergence rate and robustness. An illustrative example of adaptive control of Duffing system demonstrates better performance of a combination of smooth and nonsmooth finite-differential SG-algorithms in comparison with performance of the smooth or nonsmooth algorithm.
KW - Duffing system
KW - Nonlinear control
KW - Nonsmooth systems
KW - Passivity
KW - Speed-gradient
UR - http://www.scopus.com/inward/record.url?scp=85104411585&partnerID=8YFLogxK
U2 - 10.1137/19m1262905
DO - 10.1137/19m1262905
M3 - Article
AN - SCOPUS:85104411585
VL - 59
SP - 1370
EP - 1392
JO - SIAM Journal on Control and Optimization
JF - SIAM Journal on Control and Optimization
SN - 0363-0129
IS - 2
ER -
ID: 76601237