Unknown input
Nonlinear Unknown Input Observability: Extension of the Observability Rank Condition and the Case of a Single Unknown Input
... is unknown. We made the assumption that the unknown inputs are differen- tiable functions of time (up to a given ...An unknown input was also called ...known input) and in definition 5 ...
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Design procedure for linear unknown input functional observers
... Index Terms—Linear systems, time-invariant systems, un- known input functional observers. I. I NTRODUCTION For a dynamic system, the observation problem consists in the estimation of some internal variables, that ...
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Design of sliding mode unknown input observer for uncertain Takagi-Sugeno model
... and unknown inputs has been the subject of many research works [1], [2], ...an unknown input observer is then necessary in order to be able to estimate the state of the considered sys- ...as ...
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Linear unknown input functional observer for thermal estimation in power electronic modules
... As a case study, a simple one-dimension (1D) thermal sys- tem is considered in this paper and then modeled. Equations of thermal evolution of the system with respect to time and space can be rewritten using a linear ...
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Nonlinear Unknown Input Observability: Analytical expression of the observable codistribution in the case of a single unknown input
... known input (see theorem 1 in section 6) and then, its validity is extended to the case of multiple in- puts in section ...the unknown input (w) is a differen- tiable function of time, up to a given ...
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Sensitivity analysis with dependent random variables : Estimation of the Shapley effects for unknown input distribution and linear Gaussian models
... Sensitivity analysis methods can be divided into two groups: local and global. Local methods consist in the study of the impact of small variations of the inputs around one (of several) nominal value(s) of interest. They ...
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Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
... 6.1 Estimators of the conditional elements As far as we know, only [VG13] suggests a consistent estimator of W u when we only observe an i.i.d. sample and when the input variables can be dependent, but only for Vu ...
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Prediction-Based Control of Linear Systems by Compensating Input-Dependent Input Delay of Integral-Type
... control input through the integral equa- tion (3), with variations whose rapid swings are scaled by the gain ...restrict input variations by choosing initial conditions sufficiently near the desired ...
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Prediction-Based Stabilization of Linear Systems Subject to Input-Dependent Input Delay of Integral-Type
... I. I NTRODUCTION AND PROBLEM STATEMENT Numerous control systems involve a physical lag which, as it is well known, reveals troublesome in the design and tuning of feedback control laws. In practice, such dead-time can ...
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Active rough shape estimation of unknown objects
... of unknown objects Claire Dune 1,2 , Eric Marchand 1 , Christophe Collowet 1 ,Christophe Leroux 2 Abstract— This paper presents a method to determine the rough shape of an ...an unknown object using ...
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Some misunderstood or unknown tricks (V) (LaTeX)
... Once matlab2tikz has been launched in MATLAB , again you just need to generate your plot in MAT- LAB , and then invoke matlab2tikz using. >> matlab2tikz(’myfile.tikz’);[r] ...
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Some misunderstood or unknown tricks (IV) (LaTeX)
... Cras fermentum, felis in porta congue, velit leo facilisis odio, vitae consectetuer lorem quam vitae orci. Sed ultrices, pede eu placerat auctor, ante ligula rutrum tellus, vel posuere n[r] ...
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Some misunderstood or unknown tricks (III) (LaTeX)
... (The restrictions are stored with the encryption parameters and are used in the computation of the key from the password.) So if an author wants to place restrictions on a file but still[r] ...
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Some misunderstood or unknown tricks (II) (LaTeX)
... \end{tabular} \end{center} \end{table} nor \begin{table} \begin{center} \begin{tabular}{cc} Text & Text.. \end{tabular} \end{center} \label{reference}.[r] ...
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Code Completion From Abbreviated Input
... of input queries and output expressions and the kind of heuristics for guiding type-constrained ...an input and outputs code lines for converting one type to the other type using heuristics based on the ...
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Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form
... the recursive-design WB. A third proposal for dealing with conditional heteroskedasticity of unknown form is the resampling of blocks of autoregressive residuals (see,e.g.,Berkowitz,Birgean and Kilian 2000). No ...
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On Controlling Unknown Scalar Systems with Low Gain Feedback
... This together with (36) obviously gives the result. ∆ Illustrative Simulations Consider the unknown signal h given by: h(t) = 5 − 1.3 cos(1.2t) − 1.6 sin(2t + π/6); (40) The time evolution of h on the time ...
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Platform emergence in double unknown: Common challenge strategy
... Literature review and Problem Formulation In this paper we deal with the management strategies in high uncertainty environment. Uncertainty is defined as a condition when decision maker doesn’t know all the ...
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Autonomous flight in unstructured and unknown indoor environments
... an unknown delay to the sensor measurements we prefer to integrate the relative position estimates given by either laser scan-matching or visual odometry alone as position ...
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Autonomous Flight in Unstructured and Unknown Indoor Environments
... A BSTRACT This paper presents our solution for enabling a quadrotor helicopter, equipped with a laser rangefinder sensor, to autonomously explore and map unstructured and unknown indoor environ- ments. While these ...
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