نتایج جستجو برای: lmi
تعداد نتایج: 2732 فیلتر نتایج به سال:
Many problems from control theory can be stated as so-called robust LMI problems. In this paper, the theorem of Ehlich and Zeller, a powerful tool for analyzing polynomials and rational functions, will be presented and applied to the robust LMI problems which are used to analyze uncertain systems.
PURPOSE The aims of the study were to develop sex- and age-specific percentiles for lean mass index (LMI), appendicular LMI (aLMI), fat mass index (FMI), and body fat distribution indices in Chinese adults using dual-energy X-ray absorptiometry (DXA), and to compare those indices with those of other ethnicities using the US NHANES data. METHODS Whole-body and regional lean mass and fat mass (...
A human malignant melanoma cell strain, UCLA-SO-M14 (M14), was adapted to grow in serum-free, chemically defined medium (CDM). The 3 M KCl extract prepared from the CDM-grown cells (M-14-CDM) was assayed against leukocytes from melanoma patients, patients with other cancers, and normal donors by leukocyte migration inhibition (LMI). The leukocytes from 15 to 27 (56%) melanoma patients tested we...
This paper presents a stability criterion for global asymptotic stability of the equilibrium point for Bidirectional Associative Memory (BAM) neural networks with fixed time delays. An approach combining the Lyapunov-Krasovskii functional with Linear Matrix Inequality (LMI) is taken to investigate the stability of the system. A delay-dependent LMI criterion is derived. Finally, a numerical exam...
and Applied Analysis 3 (ii) Let A, B, and C be given such that the following LMI A + BC T + CB T < 0 (8) holds. Lemma 3 (see [20]). The following two statements are equivalent. (i) Let A, B, and C be given such that the LMI
Robust stability analysis of uncertain discrete time systems is studied. The LMI robust stability analysis method based on polynomial parameter dependent Lyapunov function is presented. This method is compared with other robust stability analysis methods formulated through LMI using linear parameter dependent Lyapunov function. The results are tested on randomly generated examples.
This paper presents an iterative two-step LMI method for improving the H 1 model error compared to Hankel norm reduction. The improvement of the Hankel norm reduced model is usually not signii-cant, typically a few percents only. For practical use the LMI reduction scheme is usually not worthwhile , but it can be interresting from the theoretical and principal point of view.
(Konradsen and Munk-Jorgensen, 2007) and an entire recent issue of IP (volume 19, issue 4) was dedicated to research papers from LMI countries. What can be done to promote geriatric psychiatry research in LMI countries and subsequent submission and acceptance for publication in geriatric psychiatry journals? Leading international organizations like the WHO, the International Psychogeriatric Ass...
in this paper, we investigate the delay-dependent robust stability of fuzzy cohen-grossberg neural networks with markovian jumping parameter and mixed time varying delays by delay decomposition method. a new lyapunov-krasovskii functional (lkf) is constructed by nonuniformly dividing discrete delay interval into multiple subinterval, and choosing proper functionals with different weighting matr...
leader-following consensus of nonlinear multi-agent systems based on parameterized lyapunov function
this paper studies the consensus problem of nonlinear leader-following multi-agent systems (mas). to do this, the error dynamics between the leader agent and follower ones are described via a takagi-sugeno (ts) fuzzy model. if the obtained ts fuzzy model is stable, then all of the nonlinear agents reach consensus. the consensus problem is investigated based on the parameterized or fuzzy lyapuno...
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