2015
DOI: 10.1016/j.sysconle.2015.08.007
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Robust static output feedback H control design for linear systems with polytopic uncertainties

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Cited by 193 publications
(114 citation statements)
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References 32 publications
(72 reference statements)
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“…Theorem 1. For a prescribed positive value , if there exist positive scalars , and parameter-dependent matrices (17) and (18) hold for all ( ,̂) ∈ Λ t anḋ∈ Λ d , then the controller (̂) whose state space matrices are given in (22) makes the closed-loop system  cl ( ,̂) exponentially stable and satisfies (4) for all combinations of admissible trajectories and[…”
Section: Proposed Methodsmentioning
confidence: 99%
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“…Theorem 1. For a prescribed positive value , if there exist positive scalars , and parameter-dependent matrices (17) and (18) hold for all ( ,̂) ∈ Λ t anḋ∈ Λ d , then the controller (̂) whose state space matrices are given in (22) makes the closed-loop system  cl ( ,̂) exponentially stable and satisfies (4) for all combinations of admissible trajectories and[…”
Section: Proposed Methodsmentioning
confidence: 99%
“…Thus, the satisfaction of (18) implies that (10) holds. Note that Assumption 1 guarantees that L 4 (̂) not to appear in Φ 2 , which in return preserves the linearity of (18). Similarly, performing a congruence transformation on (9) by T yields (17).…”
Section: Proposed Methodsmentioning
confidence: 99%
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“…Total Stabilizability simplexes of Example 3 f 2 f 1 n = 2, n u = 2 n = 3, n u = 3 n = 4, n u = 2 n y = 1, r = 2 n y = 1, r = 3 n y = 2, r = 2 Proposed algorithm 70 71 60 Theorem 8 in the work of Dong and Yang 1 48 38 49 P-K iteration in the work of Sadabadi and Peaucelle 36 36 33 32 Theorem 1 in the work of Trofino 20 34 32 33 Theorem 1 in the work of Chang et al 29 35 32 39 . This example compares the feasibility of the proposed algorithm with some of previous LMI-based methods.…”
Section: Figurementioning
confidence: 99%
“…This issue is due to the coupling between the Lyapunov function and the controller structure parameters. 22 In other works, [23][24][25][26][27][28][29][30] robust SOF controllers have been proposed for some special structure of uncertain spaces that result in nonconvex problems. These research studies have used LMI approaches to specific design of the robust SOF controller.…”
Section: Introductionmentioning
confidence: 99%