2018
DOI: 10.1002/asjc.1780
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Algebraic Conditions for Stability Analysis of Linear Time‐Invariant Distributed Order Dynamic Systems: A Lagrange Inversion Theorem Approach

Abstract: BIBO stability of linear time-invariant (LTI) distributed order dynamic systems with non-negative weight functions is investigated in this paper by using Lagrange inversion theorem. New sufficient conditions of stability/instability are presented for these systems accordingly. These algebraically simple conditions are relatively tight and their conservatism is adjustable.

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Cited by 11 publications
(3 citation statements)
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“…The stability contours are often impossible to express via elementary functions, which makes the stability tests of DO systems more complicated than their constant- and integer-order counterparts. In this regard, the Lagrange inversion theorem was utilized in [ 345 ] to obtain explicit expressions for the stability contours. Several interesting properties of these stability curves such as the slope of the tangent at very high and very low frequencies, convexity, inability to cut itself, location in the first and fourth quadrants, and shifting and enhancement of the area of the stability via multiplication of suitable functions to the strength distribution, have been presented in [ 346 , 347 , 348 ].The above mentioned properties of the stability boundaries were used in [ 347 ] to present a remarkable framework for the robust stability analysis of DO LTI systems with uncertain strength distributions and dynamic matrices.…”
Section: Applications To Control Theorymentioning
confidence: 99%
“…The stability contours are often impossible to express via elementary functions, which makes the stability tests of DO systems more complicated than their constant- and integer-order counterparts. In this regard, the Lagrange inversion theorem was utilized in [ 345 ] to obtain explicit expressions for the stability contours. Several interesting properties of these stability curves such as the slope of the tangent at very high and very low frequencies, convexity, inability to cut itself, location in the first and fourth quadrants, and shifting and enhancement of the area of the stability via multiplication of suitable functions to the strength distribution, have been presented in [ 346 , 347 , 348 ].The above mentioned properties of the stability boundaries were used in [ 347 ] to present a remarkable framework for the robust stability analysis of DO LTI systems with uncertain strength distributions and dynamic matrices.…”
Section: Applications To Control Theorymentioning
confidence: 99%
“…In contrast to classical integer‐order calculus, fractional‐order calculus considers more general memory properties, which allow to model a more comprehensive class of dynamical systems 1,2 . In this sense, distributed‐order calculus makes it possible to further extend these properties to analyse diverse physical and engineering systems 3–8 . Distributed‐order calculus generalises integer‐ and fractional‐order calculus, 9 and it has been extensively studied in recent decades, 10 for instance, in diffusion processes 11–15 .…”
Section: Introductionmentioning
confidence: 99%
“…Fractional calculus is a natural generalization of classical integer order calculus, whose inception can be traced back to 300 years ago. It is well known that fractional calculus has been widely applied to system modelling [1,2], stability analysis [3,4], controller synthesis [5,6], and optimization algorithm [7,8], etc. Due to the great efforts devoted by researchers, a large number of valuable results have been reported on fractional calculus.…”
Section: Introductionmentioning
confidence: 99%