2019 27th Mediterranean Conference on Control and Automation (MED) 2019
DOI: 10.1109/med.2019.8798565
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Anisotropy-Based Bounded Real Lemma for Multiplicative Noise Systems: the Finite Horizon Case

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Cited by 18 publications
(2 citation statements)
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“…If the obtained system of inequalities ( 11)-( 14), (19), and (20) has a solution, then the estimator (16) designed for system (4) satisfies the condition of suboptimality in the sense of the anisotropic norm. The optimization problem can be stated as follows: γ 2 −→ min over ( 11)-( 14), (19) and (20) w.r.t. R k , R k , X k , X k , η 2 , Ψ k , γ 2 1 , γ 2 2 , τ.…”
Section: Lemma 1 ([16]mentioning
confidence: 99%
See 1 more Smart Citation
“…If the obtained system of inequalities ( 11)-( 14), (19), and (20) has a solution, then the estimator (16) designed for system (4) satisfies the condition of suboptimality in the sense of the anisotropic norm. The optimization problem can be stated as follows: γ 2 −→ min over ( 11)-( 14), (19) and (20) w.r.t. R k , R k , X k , X k , η 2 , Ψ k , γ 2 1 , γ 2 2 , τ.…”
Section: Lemma 1 ([16]mentioning
confidence: 99%
“…This kind of system describes financial and population models, mechanical and hybrid systems, sensor networks, etc. The boundedness criterion for the anisotropic norm of a multiplicative noise system is suggested in [19]. After that, the anisotropy-based analysis yields a solution of the estimation problem for time-varying sensor networks.…”
Section: Introductionmentioning
confidence: 99%