2015
DOI: 10.1002/oca.2224
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High-order maximum principles for the stability analysis of positive bilinear control systems

Abstract: We consider a continuous-time positive bilinear control system (PBCS), i.e. a bilinear control system with Metzler matrices. The positive orthant is an invariant set of such a system, and the corresponding transition matrix C(t) is entrywise nonnegative for all time t ≥ 0. Motivated by the stability analysis of positive linear switched systems (PLSSs) under arbitrary switching laws, we fix a final time T > 0 and define a control as optimal if it maximizes the spectral radius of C(T ). A recent paper [2] develo… Show more

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Cited by 2 publications
(3 citation statements)
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“…Theorem 5. For a stable positive system (1) with interval parameters (2), there exists an upper-bounding observer (8) such that the augmented system (14) is positive and robustly stable with the 1 -induced performance ||ẑ|| 1 < γ u ||w|| 1 if and only if one can find matricesX P ,X Q , andX R and vectors p 1 ≥≥ 0 and p 2 ≥≥ 0 satisfying…”
Section: Theorem 2 the Lower-bounding Augmented System In Equation 12mentioning
confidence: 99%
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“…Theorem 5. For a stable positive system (1) with interval parameters (2), there exists an upper-bounding observer (8) such that the augmented system (14) is positive and robustly stable with the 1 -induced performance ||ẑ|| 1 < γ u ||w|| 1 if and only if one can find matricesX P ,X Q , andX R and vectors p 1 ≥≥ 0 and p 2 ≥≥ 0 satisfying…”
Section: Theorem 2 the Lower-bounding Augmented System In Equation 12mentioning
confidence: 99%
“…Recently, many theoretical results concerning positive systems such as behavioral analysis and synthesis have been reported . For instance, the state‐space characterization of positive systems has been derived in the work of Benvenuti and Farina .…”
Section: Introductionmentioning
confidence: 99%
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