Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Eugene Lavretsky"'
Publikováno v:
IEEE Access, Vol 10, Pp 65685-65702 (2022)
Input constraints as well as parametric uncertainties must be accounted for in the design of safe control systems. This paper presents an adaptive controller for multiple-input-multiple-output (MIMO) plants with input magnitude and rate saturation in
Externí odkaz:
https://doaj.org/article/91c38e8a34ca41c19c51f228caf60fa6
Autor:
Daniel P. Wiese, Anuradha M. Annaswamy, Jonathan A. Muse, Michael A. Bolender, Eugene Lavretsky
Publikováno v:
IEEE Access, Vol 5, Pp 23436-23451 (2017)
This paper presents a new, systematic method of synthesizing an output feedback adaptive controller for a class of uncertain, non-square multi-input/multi-output systems. The control design process consists of first designing an inner-loop controller
Externí odkaz:
https://doaj.org/article/6835fbf4f5a345a384f81f2cb551daac
Publikováno v:
IEEE Access, Vol 1, Pp 703-717 (2013)
One of the main features of adaptive systems is an oscillatory convergence that exacerbates with the speed of adaptation. Recently, it has been shown that closed-loop reference models (CRMs) can result in improved transient performance over their ope
Externí odkaz:
https://doaj.org/article/95064d112d7e497c9c7a41f5477e341b
Autor:
Michael A. Bolender, Eugene Lavretsky, Travis E. Gibson, Joseph E. Gaudio, Anuradha M. Annaswamy
Publikováno v:
IEEE Control Systems Letters. 5:391-396
Parameter estimation algorithms using higher order gradient-based methods are increasingly sought after in machine learning. Such methods however, may become unstable when regressors are time-varying. Inspired by techniques employed in adaptive syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc0217f6bf471437d30697868d985717
https://doi.org/10.1109/lcsys.2020.3002513
https://doi.org/10.1109/lcsys.2020.3002513
Autor:
Eugene Lavretsky
Publikováno v:
Journal of Guidance, Control, and Dynamics. 42:2157-2166
In this paper, a multi-input/multi-output servomechanism primary flight controller is presented. Also discussed are flight data related to the system performance and pilot assessments of handling q...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b5f4a1d139b091b4618740954956698
https://doi.org/10.2514/1.g004328
https://doi.org/10.2514/1.g004328
Publikováno v:
IFAC-PapersOnLine. 51:353-358
As aerial vehicles become more autonomous, and guidance and navigation systems become increasingly network-centric, there is a need to consider a swift response to the growing forms of anomalies that may occur in these systems. We introduce a shared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e2135a1bb5eb840d76f8ddbda51d2a
https://doi.org/10.1016/j.ifacol.2019.01.018
https://doi.org/10.1016/j.ifacol.2019.01.018
Autor:
Eugene Lavretsky, Kevin A. Wise
Robust and Adaptive Control (second edition) shows readers how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications, the focus of the book is primarily o
Publikováno v:
AIAA Scitech 2020 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e875d4cbaa0fd45c6de16e2649e2284
https://doi.org/10.2514/6.2020-0594
https://doi.org/10.2514/6.2020-0594
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 31:1754-1778
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c70e0ec838b8ed76f43e707138b813fe
https://doi.org/10.1002/acs.2798
https://doi.org/10.1002/acs.2798
Publikováno v:
SIAM journal on control and optimization. 56(4)
The convergence properties of adaptive systems in terms of excitation conditions on the regressor vector are well known. With persistent excitation of the regressor vector in model reference adaptive control the state error and the adaptation error a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1dce04ecce96a4b834bcb9511a680f
https://pubmed.ncbi.nlm.nih.gov/31772419
https://pubmed.ncbi.nlm.nih.gov/31772419