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
Link To Document :
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