18 research outputs found
Studi Pengendalian Parallel Cascade pada Kolom Distilasi
Pendekatan 'parallel cascade' untuk mengatasi masalah gangguan beban pada kolom distilasi metanol-air akan dipresentasikan dalam paper ini. Pada struktur pengendalian 'parallel cascade' pengendali primer dirancang untuk response servo dan pengendali sekunder dirancang untuk tujuan penolakan gangguan beban. Hasil simulasi dengan menggunakan Simulink menunjukkan bahwa struktur tersebut sangat berguna dalam sistem pengendalian komposisi kolom distilasi untuk penolakan gangguan. Namun demikian dalam beberapa kasus struktur ini tidak lebih baik dibandingkan dengan pengendalian umpan balik konvensional akibat adanya interaksi antara loop primer dan sekunder
Forward K+ production in subthreshold pA collisions at 1.0 GeV
K+ meson production in pA (A = C, Cu, Au) collisions has been studied using
the ANKE spectrometer at an internal target position of the COSY-Juelich
accelerator. The complete momentum spectrum of kaons emitted at forward angles,
theta < 12 degrees, has been measured for a beam energy of T(p)=1.0 GeV, far
below the free NN threshold of 1.58 GeV. The spectrum does not follow a thermal
distribution at low kaon momenta and the larger momenta reflect a high degree
of collectivity in the target nucleus.Comment: 4 pages, 3 figure
Orientation relationships between M2C carbide and the austenite matrix in an Fe-Mn-AI-Mo-C alloy
Stochastically forced cardiac bidomain model
The bidomain system of degenerate reaction–diffusion equations is a well-established spatial model of electrical activity in cardiac tissue, with “reaction” linked to the cellular action potential and “diffusion” representing current flow between cells. The purpose of this paper is to introduce a “stochastically forced” version of the bidomain model that accounts for various random effects. We establish the existence of martingale (probabilistic weak) solutions to the stochastic bidomain model. The result is proved by means of an auxiliary nondegenerate system and the Faedo–Galerkin method. To prove convergence of the approximate solutions, we use the stochastic compactness method and Skorokhod–Jakubowski a.s. representations. Finally, via a pathwise uniqueness result, we conclude that the martingale solutions are pathwise (i.e., probabilistic strong) solutions