• 제목/요약/키워드: nonlinear functional

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Application of Volterra functional series to the analysis of nonlinear systems (비선형 시스템 해석을 위한 볼테라 시리지의 응용)

  • 성단근
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.145-149
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    • 1987
  • The input-output relation for nonlinear systems can be explicitly represented by the Voltera functional series and it is characterized by the Volterra Kernels. A block diagram reduction method is introduced to determine the Volterra Kernels for the nonlinear systems represented by nonlinear differential equations. Degree of nonlinearity is defined and analyzed for the analysis of nonlinear systems.

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ON STRICT STATIONARITY OF NONLINEAR ARMA PROCESSES WITH NONLINEAR GARCH INNOVATIONS

  • Lee, O.
    • Journal of the Korean Statistical Society
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    • v.36 no.2
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    • pp.183-200
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    • 2007
  • We consider a nonlinear autoregressive moving average model with nonlinear GARCH errors, and find sufficient conditions for the existence of a strictly stationary solution of three related time series equations. We also consider a geometric ergodicity and functional central limit theorem for a nonlinear autoregressive model with nonlinear ARCH errors. The given model includes broad classes of nonlinear models. New results are obtained, and known results are shown to emerge as special cases.

Receding Horizon Predictive Control for Nonlinear Time-delay Systems

  • Kwon, Wook-Hyun;Lee, Young-Sam;Han, Soo-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.27.2-27
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    • 2001
  • This paper proposes a receding horizon predictive control (RHPC) for nonlinear time-delay systems. The control law is obtained by minimizing finite horizon cost with a terminal weighting functional. An inequality condition on the terminal weighting functional is presented, under which the closed-loop stability of RHPC is guaranteed, A special class of nonlinear time-delay systems is introduced and a systematic method to find a terminal weighting functional satisfying the proposed inequality condition is given for these systems. Through a simulation example, it is demonstrated that the proposed RHPC has the guaranteed closed-loop stability for nonlinear time-delay systems.

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A General System of Nonlinear Functional Equations in Non-Archimedean Spaces

  • Ghaemi, Mohammad Bagher;Majani, Hamid;Gordji, Madjid Eshaghi
    • Kyungpook Mathematical Journal
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    • v.53 no.3
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    • pp.419-433
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    • 2013
  • In this paper, we prove the generalized Hyers-Ulam-Rassias stability for a system of functional equations, called general system of nonlinear functional equations, in non-Archimedean normed spaces and Menger probabilistic non-Archimedean normed spaces.

Functional Relation Between Signal Distortion and a Figure of Merit for Nonlinear Process in Dispersion-managed Optical Transmission

  • Kim, Sungman
    • Journal of the Optical Society of Korea
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    • v.16 no.2
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    • pp.95-100
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    • 2012
  • We show that the minimum EOP (eye-opening penalty) obtained by tunable dispersion compensation is a function of a figure of merit for a nonlinear process, $I_0L_{eff}$, where $I_0$ is the optical intensity and $L_{eff}$ is the effective length of the interaction region. Using this rule, we do not need to conduct nonlinear simulations in all the cases of signal power and transmission length to obtain the signal distortion in dispersion-managed optical transmission. Instead, we need to conduct a simulation in only one case of a signal power and find the functional relation, and then we can obtain the values of the signal distortion in other cases using the discovered functional relation. This technique can reduce the number of nonlinear simulations to less than 10%.

Application of Volterra Functional Series to the Analysis of Nonlinear Systems Represented by Nonlinear Differential Equations (비선형 미분방정식으로 표현되는 비선형 시스템의 해석을 위한 볼테리 시리즈의 응용)

  • Sung, Dan-Keun
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.3
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    • pp.315-321
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    • 1988
  • The input-output relation for nonlinear systems can e explicitly represented by the volterra functional series and it is characterized by the Volterra kernels. A block diagram reduction method is proposed to determine the Volterra kernels for nonlinear differential equations and is compared with the direct substitution techniques. The former method can significantly reduce the computational complexity. A degree of nonlinearity is defined and analyzed for the analysis of nonlinear systems.

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