1987
DOI: 10.1049/ip-d.1987.0018
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Direct method for TDS stability analysis

Abstract: A direct approach to the analysis of systems with single, or commensurate delays is presented, and compared with other recently proposed methods. The finite polynomials arising in this direct method are shown to have useful sensitivity properties. Remarks are given concerning systems stable independent of delay.

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Cited by 293 publications
(233 citation statements)
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“…From one point of view, the rightmost poles coincide with the dominant ones. However, this is not the best conception for our case since there are infinitely many rightmost roots, see (3). Another idea is to measure the dominancy by the distance from the zero (i.e.…”
Section: Extrapolation Methodsmentioning
confidence: 99%
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“…From one point of view, the rightmost poles coincide with the dominant ones. However, this is not the best conception for our case since there are infinitely many rightmost roots, see (3). Another idea is to measure the dominancy by the distance from the zero (i.e.…”
Section: Extrapolation Methodsmentioning
confidence: 99%
“…eigenvalues) [1,2]. Much effort has been made to analyse the infinite spectrum of TDS of retarded as well as neutral type (NTDS), mainly when the endeavour to decide about system stability and its dependence on particular delays' values [3][4][5][6][7][8]. Compared to retarded ones, NTDS are much more advanced, tricky and intricate regarding spectral properties [1,4,9].…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, most of the existing approaches study stability of such systems by finding the crossings of poles through the imaginary axis [8]. There has been a large effort to deal with this problem, as can be seen by the large quantity of articles dealing with it for the standard case (integer order systems); see [5], and others.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, taking an automatic computerbased control system or a process control with networked transmission for example, it is necessary and more reasonable to simultaneously consider the possible transmission delay for the corresponding control law and the device delay due to computing or processing. Recently, much attention has been paid to the subjects of stability, stabilization and control of the time delay systems [1] - [5]. Fractional order models would be more accurate than integer order models.…”
Section: Introductionmentioning
confidence: 99%
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