Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jurgen van Zundert"'
Publikováno v:
IEEE/ASME Transactions on Mechatronics, 25(1):8902055, 55-65. Institute of Electrical and Electronics Engineers
Discrete-time system inversion for perfect tracking goes at the expense of intersample behavior. The aim of this article is the development of a discrete-time inversion approach that improves continuous-time performance by also addressing the intersa
Publikováno v:
IEEE/ASME Transactions on Mechatronics, 24(6):8861146, 2953-2963. Institute of Electrical and Electronics Engineers
Nonminimum-phase zeros pose challenges for controller design, i.e., in inversion-based control approaches where inverting these zeros may result in “unstable” poles. The aim of this paper is to exploit the additional freedom in overactuated syste
Autor:
Tom Oomen, Jurgen van Zundert
Publikováno v:
International Journal of Robust and Nonlinear Control, 29(2), 408-432. Wiley
Nonequidistant sampling potentially enhances the performance/cost trade-off that is present in traditional equidistant sampling schemes. The aim of this paper is to develop a systematic feedback control design approach for systems that go beyond equi
Autor:
Duarte Antunes, W.H.T.M. Aangenent, Jurgen van Zundert, Tom Oomen, Jan Verhaegh, Wpmh Maurice Heemels
Publikováno v:
IEEE Transactions on Control Systems Technology, 28(2):8575151, 448-461. Institute of Electrical and Electronics Engineers
Motion systems with multiple control loops often run at a single sampling rate for simplicity of implementation and controller design. The achievable performance in terms of position accuracy is determined by the data acquisition hardware, such as se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef20f4dc9fe2d55e043caf370ef26030
https://research.tue.nl/nl/publications/00d69a6d-123e-48bc-892e-6e342a1f9496
https://research.tue.nl/nl/publications/00d69a6d-123e-48bc-892e-6e342a1f9496
Autor:
Jcd Jurgen van Zundert, Tae Tom Oomen
Publikováno v:
International Journal of Control, 92(5), 1022-1032. Taylor and Francis Ltd.
Many control applications, including feedforward and learning control, involve the inverse of a dynamical system. For nonminimum-phase systems the response of the inverse system is unbounded. For linear time-invariant (LTI), nonminimum-phase systems
Autor:
Jcd Jurgen van Zundert, Tae Tom Oomen
Publikováno v:
IFAC-PapersOnLine. 50:6093-6098
The combination of feedback control with inverse model feedforward control or iterative learning control is known to yield high performance. The aim of this paper is to clarify the role of feedback in the design of feedforward controllers, with speci
Autor:
Tae Tom Oomen, Jcd Jurgen van Zundert
Publikováno v:
IFAC-PapersOnLine. 50:12101-12106
System inversion is at the basis of many feedforward and learning control algorithms. This paper aims to analyze several of these approaches in view of their subsequent use, showing inappropriate use that is previously overlooked. This leads to new i
Publikováno v:
IEEE Transactions on Industrial Electronics, 64(5):2613498, 4207-4216. Institute of Electrical and Electronics Engineers
Advanced control methods potentially enable performance improvements in printing systems for minor additional costs. The aim of this paper is to develop a control framework that is capable of delivering throughput and accuracy enhancements for an ind
Publikováno v:
2019 American Control Conference (ACC 2019), July 10-12, Philadelphia, Pennsylvania, 4472-4477
STARTPAGE=4472;ENDPAGE=4477;TITLE=2019 American Control Conference (ACC 2019), July 10-12, Philadelphia, Pennsylvania
ACC
STARTPAGE=4472;ENDPAGE=4477;TITLE=2019 American Control Conference (ACC 2019), July 10-12, Philadelphia, Pennsylvania
ACC
Discrete-time system inversion for perfect tracking goes at the expense of intersample behavior. The aim of this paper is the development of a discrete-time inversion approach that improves continuous-time performance by also addressing the intersamp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d6af35ff0b9138b6f9db50f9659b123
https://doi.org/10.23919/acc.2019.8814626
https://doi.org/10.23919/acc.2019.8814626
Publikováno v:
Mechatronics, 38, 76-90. Elsevier
Iterative learning control (ILC) enables high performance for systems that execute repeating tasks. Norm-optimal ILC based on lifted system representations provides an analytic expression for the optimal feedforward signal. However, for large tasks t