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Statistical linearization

Derivation of equivalent linear properties of Bouc-Wen hysteretic systems for seismic response spectrum analysis via statistical linearization

Derivation of equivalent linear properties of Bouc-Wen hysteretic systems for seismic response spectrum analysis via statistical linearization

... shown in Figures 3(e) and 3(f). Further, in the latter plots it is observed that the increase of the effective damping ratios tend to saturate and even to slightly decrease as the level of yielding increases and more ...

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Third-order statistical linearization-based approach to derive equivalent linear properties of bilinear hysteretic systems for seismic response spectrum analysis

Third-order statistical linearization-based approach to derive equivalent linear properties of bilinear hysteretic systems for seismic response spectrum analysis

... approximate linearization techniques can be used to study the response of nonlinear systems (see ...[10,11] statistical linearization based approach which is not restricted by the aforementioned ...

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Statistical linearization based estimation of the peak response of nonlinear systems subject to the EC8 design spectrum

Statistical linearization based estimation of the peak response of nonlinear systems subject to the EC8 design spectrum

... Abstract. A stochastic approach is proposed to obtain reliable estimates of the peak response of nonlinear systems to excitations specified via a response/ design seismic spectrum. This is achieved without resorting to ...

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Robust transceiver design for reciprocal M × N interference channel based on statistical linearization approximation

Robust transceiver design for reciprocal M × N interference channel based on statistical linearization approximation

... This paper focuses on robust transceiver design for throughput enhancement on the interference channel (IC), under imperfect channel state information (CSI). In this paper, two algorithms are proposed to improve the ...

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Generating Non Projective Word Order in Statistical Linearization

Generating Non Projective Word Order in Statistical Linearization

... the linearization task in two stages: initially, the input tree is modified by lifting certain edges in such a way that new orderings be- come possible even under a projectivity constraint; the second stage is the ...

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A stochastic approach for deriving effective linear properties of bilinear hysteretic systems subject to design spectrum compatible strong ground motions

A stochastic approach for deriving effective linear properties of bilinear hysteretic systems subject to design spectrum compatible strong ground motions

... ([6],[7]) statistical linearization based approach is adopted and further extended to derive ELPs from bilinear hysteretic oscillators associated with any given elastic response ...

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Random Response of a Strongly Nonlinear Oscillator with Internal and External Excitations

Random Response of a Strongly Nonlinear Oscillator with Internal and External Excitations

... the statistical characteristics of strongly nonlinear second order oscillators are studied by examining the joint probability density function of the response X X ,  ...analysis, statistical ...

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The Best Piecewise Linearization of  Nonlinear Functions

The Best Piecewise Linearization of Nonlinear Functions

... piecewise linearization form of nonlinear functions is useful for many applications, especially for nonlinear nonsmooth optimization, nonlinear differen- tial equations, fuzzy ODE and PDE differential equations ...

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Transition Based Syntactic Linearization with Lookahead Features

Transition Based Syntactic Linearization with Lookahead Features

... tree linearization tasks involving par- tial to full dependency constraints are also due to lookahead features that leverage tree information to reduce ambiguity ...syntactic linearization, we achieve the ...

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Experiments with Generative Models for Dependency Tree Linearization

Experiments with Generative Models for Dependency Tree Linearization

... els. Dependency tree nodes are labeled with word- forms, lemmas, and parts-of-speech (POS) tags; and dependency tree edges are labeled with rela- tion types. A model might generate orders of de- pendents conditioned on ...

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Revisiting the Binary Linearization Technique for Surface Realization

Revisiting the Binary Linearization Technique for Surface Realization

... End-to-end neural approaches have achieved state-of-the-art performance in many natu- ral language processing (NLP) tasks. Yet, they often lack transparency of the underly- ing decision-making process, hindering error ...

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Head First Linearization with Tree Structured Representation

Head First Linearization with Tree Structured Representation

... most linearization models, the incremental generation algorithm follows the left-to-right se- quential ...the linearization models that employ left-to-right generation, such word order proper- ties are only ...

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Algebraic Companions and Linearizations

Algebraic Companions and Linearizations

... and on the right, we use Frobenius linearization. Since we do not know how to compute the condition number for a matrix polynomial expressed in the form for algebraic linearization, we used the results from ...

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Efficient Linearization of Tree Kernel Functions

Efficient Linearization of Tree Kernel Functions

... We will present a number of experiments carried out in the context of Semantic Role Labeling, show- ing that our approach can noticeably reduce training time while yielding almost unaffe[r] ...

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LINEARIZATION TECHNIQUE FOR MEASUREMENT OF  GPS USER POSITION

LINEARIZATION TECHNIQUE FOR MEASUREMENT OF GPS USER POSITION

... Results indicate that the estimated user position using linearization technique is agreeing with the exact position of the user as given in observation data. In order to further improve the accuracy in estimating ...

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Alternating Linearization for Structured Regularization Problems

Alternating Linearization for Structured Regularization Problems

... We adapt the alternating linearization method for proximal decomposition to structured regularization problems, in particular, to the generalized lasso problems. The method is related to two well-known operator ...

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Linearization of Anti-Tank Guided Missile

Linearization of Anti-Tank Guided Missile

... Linearization of the mathematical representation of the underlying missile system is a milestone in investigating the behavior of the system against different flight conditions and it provides a clear picture ...

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A Grammar Formalism and Parser for Linearization based HPSG

A Grammar Formalism and Parser for Linearization based HPSG

... encoding linearization-based HPSG theo- ries, which crucially rely on the possibility to ex- press linear precedence constraints on the elements within a word order ...

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Sentence Realization with Unlexicalized Tree Linearization Grammars

Sentence Realization with Unlexicalized Tree Linearization Grammars

... the linearization rules do not concern the ‘heaviness’ of the dependent NP, hence (wrongly) preferring the unnatural placement of “aside” to the end of the sentence in the third ...

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Power Amplifier Linearization Using Digiital Predistortion

Power Amplifier Linearization Using Digiital Predistortion

... phase modulated IF signal.It is first split into two parts. Envelope of the first one is detected in order to obtain AM data and the second one is sent to a limiter to obtain just the phase modulated carrier. A portion ...

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