Results 131 to 140 of about 3,435,907 (207)
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IEEE Transactions on Signal Processing, 1997
This paper is composed of two parts. The first part surveys the literature regarding optimum nonlinear filtering from the (continuous-time) stochastic analysis point of view, and the other part explores the impact of recent applications of neural networks (in a discrete-time context) to nonlinear filtering.
Simon Haykin 0001, Paul Yee, Eric Derbez
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This paper is composed of two parts. The first part surveys the literature regarding optimum nonlinear filtering from the (continuous-time) stochastic analysis point of view, and the other part explores the impact of recent applications of neural networks (in a discrete-time context) to nonlinear filtering.
Simon Haykin 0001, Paul Yee, Eric Derbez
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Signal Processing, 2014
In this paper, two new sub-classes of linear-in-the-parameters nonlinear discrete-time filters, derived from the truncation of multidimensional generalized Fourier series, are presented. The filters, called Fourier nonlinear filters and even mirror Fourier nonlinear filters, are universal approximators for causal, time-invariant, finite-memory ...
Alberto Carini, Giovanni L. Sicuranza
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In this paper, two new sub-classes of linear-in-the-parameters nonlinear discrete-time filters, derived from the truncation of multidimensional generalized Fourier series, are presented. The filters, called Fourier nonlinear filters and even mirror Fourier nonlinear filters, are universal approximators for causal, time-invariant, finite-memory ...
Alberto Carini, Giovanni L. Sicuranza
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Mechanical systems and signal processing, 2019
Rolling element bearings are the critical parts of every rotating machinery and their failure is one of the main reason of the machine downtime and even breakdown. For this reason, various methods have been proposed in the past for their early diagnosis.
A. Moshrefzadeh, A. Fasana, J. Antoni
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Rolling element bearings are the critical parts of every rotating machinery and their failure is one of the main reason of the machine downtime and even breakdown. For this reason, various methods have been proposed in the past for their early diagnosis.
A. Moshrefzadeh, A. Fasana, J. Antoni
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Filtering by nonlinear systems
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008Synchronization of nonlinear systems forced by external signals is formalized as the response of a nonlinear filter. Sufficient conditions for a nonlinear system to behave as a filter are given. Some examples of generalized chaos synchronization are shown to actually be special cases of nonlinear filtering.
Campos Cantón, E. +2 more
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IEEE Transactions on Automatic Control, 2020
This paper is concerned with the distributed set-membership filtering problem for a class of general discrete-time nonlinear systems under event-triggered communication protocols over sensor networks.
Derui Ding, Zidong Wang, Q. Han
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This paper is concerned with the distributed set-membership filtering problem for a class of general discrete-time nonlinear systems under event-triggered communication protocols over sensor networks.
Derui Ding, Zidong Wang, Q. Han
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Journal of Nonlinear Science, 1997
It is shown how it is possible to combine Fourier projections with local nonlinear prediction to provide a methodology which can, in principle, recognize independent dynamical signals. That methodology is applied to a variety of chaotic signals with superimposed the sine waves. Moreover, it is shown how sine wave frequency can be recognized dynamically
Kember, G., Fowler, A. C., Evans, H. B.
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It is shown how it is possible to combine Fourier projections with local nonlinear prediction to provide a methodology which can, in principle, recognize independent dynamical signals. That methodology is applied to a variety of chaotic signals with superimposed the sine waves. Moreover, it is shown how sine wave frequency can be recognized dynamically
Kember, G., Fowler, A. C., Evans, H. B.
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IEEE Transactions on Cybernetics, 2020
In this paper, the tracking control problem is considered for a class of multiple-input multiple-output (MIMO) nonlinear systems with input saturation and unknown direction control gains.
Jinpeng Yu +3 more
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In this paper, the tracking control problem is considered for a class of multiple-input multiple-output (MIMO) nonlinear systems with input saturation and unknown direction control gains.
Jinpeng Yu +3 more
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Optics Letters, 1996
We demonstrate a nonlinear Christiansen filter in both the steady state and the transient regimes and in both the self- and the cross-modulation modes. Experiments in which a thermal nonlinearity was used agree well with predictions based on a modified scattering theory model.
S D, Vartak, N M, Lawandy
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We demonstrate a nonlinear Christiansen filter in both the steady state and the transient regimes and in both the self- and the cross-modulation modes. Experiments in which a thermal nonlinearity was used agree well with predictions based on a modified scattering theory model.
S D, Vartak, N M, Lawandy
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Fuzzy Control and Filtering for Nonlinear Singularly Perturbed Markov Jump Systems
IEEE Transactions on Cybernetics, 2020This article addresses the $H_{\infty } $ control and filtering problems for Markov jump singularly perturbed systems approximated by Takagi–Sugeno fuzzy models.
Yue-ying Wang +3 more
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