1996
DOI: 10.1016/s1474-6670(17)57935-5
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Numerical Experience with Parallel Algorithms for Solving the BMI Problem

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Cited by 18 publications
(3 citation statements)
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“…(21) reveals that it is bilinear matrix inequality (BLMI) [13]. In general, there has been no practical method for solving BMIs, especially for interconnected [14][15][16]. In this paper, we adopt the idea of the homotopy method in the matrix inequality approach [5].…”
Section: H 1 Control Designmentioning
confidence: 99%
“…(21) reveals that it is bilinear matrix inequality (BLMI) [13]. In general, there has been no practical method for solving BMIs, especially for interconnected [14][15][16]. In this paper, we adopt the idea of the homotopy method in the matrix inequality approach [5].…”
Section: H 1 Control Designmentioning
confidence: 99%
“…Although AM-based methods enjoy simple implementation and perform satisfactorily in many cases, they offer no convergence guarantees to a feasible solution. Another approach is to solve a sequence of convex relaxations until a satisfactory solution is obtained [17], [34]- [38]. In [35], [39], BMI optimization problems are tackled by forming a sequence of semidefinite programming (SDP) relaxations.…”
Section: Introductionmentioning
confidence: 99%
“…Alternativamente, el problema puede ser formulado en términos de una desigualdad matricial bilineal (BMC) que tampoco es convexa. Por tanto, no existe una solución completa a este problema; sin embargo, ciertos métodos numéricos que resuelven parcialmente el problema han sido desarrollados y probados [ (Iwasaki, 1999), (Liu & Papavassilopoulos, 1996)]. Esta es la propuesta que se ha sido seguido en el desarrollo del algoritmo.…”
Section: Controles H ∞ De Orden Fijounclassified