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Information Journal Paper

Title

STOCHASTIC DIFFERENTIAL EQUATIONS AND MARKOV PROCESSES IN THE MODELING OF ELECTRICAL CIRCUITS

Pages

  15-26

Abstract

STOCHASTIC DIFFERENTIAL EQUATIONs (SDEs), arise from physical systems that possess inherent noise and certainty. We derive a SDE for ELECTRICAL CIRCUITs. In this paper, we will explore the close relationship between the SDE and autoregressive (AR) model. We will solve SDE related to RC circuit with using of AR (1) model (Markov process) and however with Euler-Maruyama (EM) method. Then, we will compare this solutions. Numerical SIMULATIONs in MATLAB are obtained.

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    Cite

    APA: Copy

    REZAEYAN, RAMZAN, & FARNOOSH, RAHMAN. (2010). STOCHASTIC DIFFERENTIAL EQUATIONS AND MARKOV PROCESSES IN THE MODELING OF ELECTRICAL CIRCUITS. JOURNAL OF MATHEMATICAL EXTENSION, 4(2 (S.N. 8)), 15-26. SID. https://sid.ir/paper/565410/en

    Vancouver: Copy

    REZAEYAN RAMZAN, FARNOOSH RAHMAN. STOCHASTIC DIFFERENTIAL EQUATIONS AND MARKOV PROCESSES IN THE MODELING OF ELECTRICAL CIRCUITS. JOURNAL OF MATHEMATICAL EXTENSION[Internet]. 2010;4(2 (S.N. 8)):15-26. Available from: https://sid.ir/paper/565410/en

    IEEE: Copy

    RAMZAN REZAEYAN, and RAHMAN FARNOOSH, “STOCHASTIC DIFFERENTIAL EQUATIONS AND MARKOV PROCESSES IN THE MODELING OF ELECTRICAL CIRCUITS,” JOURNAL OF MATHEMATICAL EXTENSION, vol. 4, no. 2 (S.N. 8), pp. 15–26, 2010, [Online]. Available: https://sid.ir/paper/565410/en

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