2017
DOI: 10.1515/bpasts-2017-0075
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Superstabilization of positive linear electrical circuit by state-feedbacks

Abstract: Abstract. The concept of superstability of positive linear electrical circuits is introduced and its properties are characterized. The superstabilization of positive and nonpositive electrical circuits by state-feedbacks is analyzed. The following notation will be used: ℜ -the set of real numbers, ℜ n×m -the set of n£m real matrices, ℜ + n×m -the set of n£m real matrices with nonnegative entries and, M n -the set of n£n Metzler matrices (real matrices with nonnegative off-diagonal entries), I n -the n£n identi… Show more

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Cited by 12 publications
(6 citation statements)
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“…In superstable systems the norm of the state vector decreases monotonically to zero for t → ∞, which prevents such undesirable effects [28][29][30].…”
Section: Superstabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…In superstable systems the norm of the state vector decreases monotonically to zero for t → ∞, which prevents such undesirable effects [28][29][30].…”
Section: Superstabilitymentioning
confidence: 99%
“…Local and global stability criteria for a population model with two age classes were considered in [27]. A special class of stable systems are superstable systems with more restricted dynamics requirements, i.e., with the norm of the state vector decreasing monotonically to zero [28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The value of the free response of an asymptotically stable system decreases to zero over time, but it may considerably increase in the initial part of the trajectory. In superstable systems, which are a subclass of asymptotically stable systems, state variables are limited by the value of the norm of the state vector, which decreases monotonically to zero over time [28][29][30].…”
Section: Superstability Analysismentioning
confidence: 99%
“…Such systems provide some practically important properties, e.g., superstability (as opposed to stability) remains under the presence of time-varying and nonlinear perturbations, which allows researchers to solve problems relating to the synthesis of robust systems easily. Moreover, superstable systems ensure the elimination of peaks or sharp increases in the state vector trajectory [28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…The fractional calculus have found a range of applications, in particular, modelling of process dynamics and physical effects whose modelling with classic mathematical apparatus has not always been faithful to reality, e.g. modelling of such effects as memory process, PID controllers, robust control, heat transfer process, electrical drive, voltage regulator, charging and discharging of supercapacitors, robot manipulators, cell growth dynamics, biomedical engineering, image processing, chemical reaction processes, dynamics of automatic or electronic systems, photovoltaic systems, hybrid power systems or such non-technical issues as analysis of financial processes [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The fractional calculus seems an ideal tool for modelling of nonlinear and highly complex effects and processes.…”
Section: Introductionmentioning
confidence: 99%