DocumentCode
2897960
Title
Stability analysis of multiple time delayed fractional order systems
Author
Pakzad, Mohammad Ali ; Pakzad, Sara ; Nekoui, Mohammad Ali
Author_Institution
Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
fYear
2013
fDate
17-19 June 2013
Firstpage
170
Lastpage
175
Abstract
A new methodology, based on advanced clustering with frequency sweeping (ACFS), is presented for the stability analysis of fractional-order systems with multiple time delays against delay uncertainties. The problem is known to be notoriously complex, primarily because the systems are infinite dimensional due to delays. Multiplicity of the delays in this study complicates the analysis even further. And “fractional-order” feature of the systems makes the problem much more challenging compared to integer order systems. ACFS does not impose any restrictions in the number of delays, and it can directly extract the 2-D cross sections of the stability views in any two delay domain. We show that this procedure analytically reveals all possible stability regions exclusively in the space of the delays. As an added strength, it does not require the delay-free system under consideration to be stable. The main contribution of this document is that we demonstrate for the first time that the stability maps of a fractional-order system with multiple time delays can be obtained efficiently. Two illustrative examples are presented to confirm the proposed method results.
Keywords
delays; multidimensional systems; pattern clustering; stability; uncertain systems; 2D cross sections; ACFS; advanced clustering with frequency sweeping; delay uncertainties; infinite dimensional system; integer order systems; multiple time delayed fractional order systems; stability analysis; stability maps; stability regions; stability views; Delay effects; Delays; Equations; Kernel; Mathematical model; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6579832
Filename
6579832
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