2017
DOI: 10.1007/s12555-016-0102-y
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Positive observer design for linear impulsive positive systems with interval uncertainties and time delay

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Cited by 8 publications
(2 citation statements)
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“…29,30 By using this new type of Lyapunov function, the corresponding results are then derived in the linear programming (LP) form which are more amenable to be analyzed and calculated. 31 On another front, owing to the wide existence of the environmental perturbations and measurement errors, inherent uncertainties exist ubiquitously in the engineering fields, which may decline the performances or even destroy stability of the systems. 32 The last decade has witnessed an increasing interest in the study of switched positive systems with uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…29,30 By using this new type of Lyapunov function, the corresponding results are then derived in the linear programming (LP) form which are more amenable to be analyzed and calculated. 31 On another front, owing to the wide existence of the environmental perturbations and measurement errors, inherent uncertainties exist ubiquitously in the engineering fields, which may decline the performances or even destroy stability of the systems. 32 The last decade has witnessed an increasing interest in the study of switched positive systems with uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, an impulsive positive observer has been developed for continuous-time positive linear systems (Xiao et al, 2017). Positive observers have been extended for other types of positive systems such as switched systems (Wang et al, 2016), quadratic systems (Okamoto et al, 2016), time-delay systems (Trinh et al, 2017), linear impulsive delayed systems (Hu et al, 2017), and positive 2D discrete-time systems (Shen and Wang, 2017). Moreover, there are few articles presenting observers for uncertain positive systems (Chen and Lam, 2014; Chen et al, 2014; Li and Lam, 2012), and also in the presence of unknown input or disturbances (Shafai et al, 2015).…”
Section: Introductionmentioning
confidence: 99%