On the Robustness of Sampled-Data Systems to Uncertainty in Continuous-Time Delays

IEEE Transactions on Automatic Control ◽

10.1109/tac.2010.2095713 ◽

2011 ◽

Vol 56 (3) ◽

pp. 686-692 ◽

Author(s):

Igal Alterman ◽

Leonid Mirkin

Keyword(s):

Continuous Time ◽

Time Delays ◽

Data Systems ◽

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On the robustness of sampled-data systems to uncertainty in continuous-time delays

49th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2010.5717750 ◽

2010 ◽

Author(s):

Igal Alterman ◽

Leonid Mirkin

Keyword(s):

Continuous Time ◽

Time Delays ◽

Data Systems ◽

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FAULT DETECTION IN MULTIRATE SAMPLED-DATA SYSTEMS WITH TIME-DELAYS

IFAC Proceedings Volumes ◽

10.3182/20020721-6-es-1901.00783 ◽

2002 ◽

Vol 35 (1) ◽

pp. 311-316 ◽

Author(s):

P. Zhang ◽

S.X. Ding ◽

G.Z. Wang ◽

D.H. Zhou

Keyword(s):

Fault Detection ◽

Time Delays ◽

Data Systems ◽

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Continuous-time deadbeat control for sampled-data systems

IEEE Transactions on Automatic Control ◽

10.1109/9.539428 ◽

1996 ◽

Vol 41 (10) ◽

pp. 1478-1481 ◽

Author(s):

H. Katoh ◽

Y. Funahashi

Keyword(s):

Continuous Time ◽

Data Systems ◽

Sampled Data ◽

Deadbeat Control

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Adaptive estimation of time delays in sampled data systems

IEEE Transactions on Acoustics Speech and Signal Processing ◽

10.1109/tassp.1981.1163568 ◽

1981 ◽

Vol 29 (3) ◽

pp. 582-587 ◽

Author(s):

D. Etter ◽

S. Stearns

Keyword(s):

Time Delays ◽

Adaptive Estimation ◽

Data Systems ◽

Sampled Data ◽

Estimation Of Time

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Separable identification of continuous-time systems having multiple unknown time delays from sampled data

2016 4th International Conference on Control Engineering & Information Technology (CEIT) ◽

10.1109/ceit.2016.7929051 ◽

2016 ◽

Author(s):

Y. Ghoul ◽

K. Ibn Taarit ◽

M. Ksouri

Keyword(s):

Continuous Time ◽

Time Delays ◽

Sampled Data ◽

Continuous Time Systems ◽

Unknown Time Delays ◽

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Trajectory planning and tracking control for multiple-input multiple-output, linear time-invariant, sampled data systems in continuous time

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651813512477 ◽

2013 ◽

Vol 228 (10) ◽

pp. 758-768 ◽

Author(s):

Sven-Olaf Lindert

Keyword(s):

Continuous Time ◽

Tracking Control ◽

Linear Time ◽

Multiple Input Multiple Output ◽

Data Systems ◽

Sampled Data ◽

Linear Time Invariant ◽

Multiple Input ◽

Input Multiple Output ◽

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Fault detection for multirate sampled-data systems with time delays

International Journal of Control ◽

10.1080/0020717021000031475 ◽

2002 ◽

Vol 75 (18) ◽

pp. 1457-1471 ◽

Author(s):

P. Zhang ◽

S. X. Ding ◽

G. Z. Wang ◽

D. H. Zhou

Keyword(s):

Fault Detection ◽

Time Delays ◽

Data Systems ◽

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Online identification of continuous-time systems with multiple-input time delays from sampled data using sequential nonlinear least square method from sampled data

2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) ◽

10.1109/sta.2016.7952028 ◽

2016 ◽

Author(s):

Y. Ghoul ◽

K. Ibn Taarit ◽

M. Ksouri

Keyword(s):

Continuous Time ◽

Time Delays ◽

Least Square Method ◽

Least Square ◽

Sampled Data ◽

Online Identification ◽

Continuous Time Systems ◽

Multiple Input ◽

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Continuous-time asymptotic tracking and regulation for parameter-dependent multi-rate sampled-data systems

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041) ◽

10.1109/acc.1997.609499 ◽

1997 ◽

Author(s):

O.M. Grasselli ◽

L. Menini ◽

P. Valigi

Keyword(s):

Continuous Time ◽

Data Systems ◽

Sampled Data ◽

Asymptotic Tracking ◽

Parameter Dependent

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Asymptotic Properties of Zeros of Sampled-Data Systems for Continuous-Time Plants With Nondecouplability

Volume 2: Control, Monitoring, and Energy Harvesting of Vibratory Systems; Cooperative and Networked Control; Delay Systems; Dynamical Modeling and Diagnostics in Biomedical Systems; Estimation and Id of Energy Systems; Fault Detection; Flow and Thermal Systems; Haptics and Hand Motion; Human Assistive Systems and Wearable Robots; Instrumentation and Characterization in Bio-Systems; Intelligent Transportation Systems; Linear Systems and Robust Control; Marine Vehicles; Nonholonomic Systems ◽

10.1115/dscc2013-3989 ◽

2013 ◽

Author(s):

Mitsuaki Ishitobi ◽

Sadaaki Kunimatsu

Keyword(s):

Fractional Order ◽

Continuous Time ◽

Asymptotic Properties ◽

Sampling Period ◽

Approximate Expression ◽

Data Systems ◽

Sampled Data ◽

Static State ◽

Power Series Expansions

When a continuous-time linear system is discretized using a hold, stability of poles are preserved. However, the transformations of zeros are much more complicated and the number of the zeros increases in some cases in the discretization process. This paper is concerned with the zeros of a sampled-data model resulting from a continuous-time multivariable system which is not decouplable by static state feedback and has all of the relative degrees one. Two cases of a zero-order hold and a fractional-order hold are treated. An approximate expression of the zeros is given as power series expansions with respect to a sampling period in the zero-order hold case. Further, the limiting zeros are analyzed in the fractional-order hold case. Then, the advantage of the fractional-order hold to the zero-order hold is discussed from the viewpoint of stability of the zeros.

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