Results 291 to 300 of about 3,243,734 (347)
Some of the next articles are maybe not open access.
Combined input and parameter estimation with input observers and set-membership parameter bounding
2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004The paper addresses an online, simultaneous input and parameter estimation problem for a first order system affected by measurement noise. This problem is motivated by practical applications in the area of engine control. Our approach combines an input observer for the unknown input with a set-membership procedure to estimate the parameter.
I. Kolmanovsky +2 more
openaire +1 more source
2023
Abstract Chapter 3 discusses measures of magnitude and intensity of earthquakes, and presents various attenuation formulae that can be used to determine the likely peak ground acceleration (PGA) to be expected at a dam site for extreme events and events with specific return periods.
openaire +1 more source
Abstract Chapter 3 discusses measures of magnitude and intensity of earthquakes, and presents various attenuation formulae that can be used to determine the likely peak ground acceleration (PGA) to be expected at a dam site for extreme events and events with specific return periods.
openaire +1 more source
Input type and parameter resetting: Is naturalistic input necessary?
IRAL - International Review of Applied Linguistics in Language Teaching, 2007It has been argued that extended exposure to naturalistic input provides L2 learners with more of an opportunity to converge of target morphosyntactic competence as compared to classroom-only environments, given that the former provide more positive evidence of less salient linguistic properties than the latter (e.g., Isabelli 2004).
Rothman, Jason, Iverson, Michael
openaire +1 more source
SNN Input Parameters: How Are They Related?
2013 International Conference on Parallel and Distributed Systems, 2013Nowadays, organizations are facing several challenges when they try to analyze generated data with the aim of extracting useful information. This analytical capacity needs to be enhanced with tools capable of dealing with big data sets without making the analytical process a difficult task. Clustering is usually used, as this technique does not require
Moreira, José Guilherme da Cruz +2 more
openaire +2 more sources
Optimum input signals for parameter identification†
International Journal of Systems Science, 1976A frequency-domain approach is presented for the design of optimum input signals for identifying the parameters of a linear system. This method is intuitively appealing, and can be applied to synthesize a binary input which is sufficiently close to the optimum. An example from an earlier paper is solved directly using this approach.
E. KUSZTA, N. K. SINHA
openaire +1 more source
Input Parameters – Kinematic Properties
2019To observe the dynamic flow in dependence on the function of the bucket elevator, it is necessary to set the 3D model of the bucket elevator in motion (Fig. 8.1).
Daniel Gelnar, Jiri Zegzulka
openaire +1 more source
Calibrating Input Parameters via Eligibility Sets
2020 Winter Simulation Conference (WSC), 2020Reliable simulation analysis requires accurately calibrating input model parameters. While there has been a sizable literature on parameter calibration that utilizes directly observed data, much less attention has been paid to the situation where only output-level data are available to justify input parameter choices.
Yuanlu Bai, Henry Lam
openaire +1 more source
Improving Input Parameter Estimation in Online Pandemic Simulation
2021 Winter Simulation Conference (WSC), 2021Simulation models are suitable tools to represent the complexity and randomness of hospital systems. To be used as forecasting tools during pandemic waves, it is necessary an accurate estimation, by using real-time data, of all input parameters that define the patient pathway and length of stay in the hospital.
García de Vicuña Bilbao, Daniel +1 more
openaire +2 more sources
2018
This chapter provides modeling tools and concepts for the input random variables of the system to be simulated. After a discussion of dependence and correlation measures between random variables, Sect. 3.2 provides an introduction to copulas for approximating the joint distribution of several random variables given only their marginals and possibly ...
openaire +1 more source
This chapter provides modeling tools and concepts for the input random variables of the system to be simulated. After a discussion of dependence and correlation measures between random variables, Sect. 3.2 provides an introduction to copulas for approximating the joint distribution of several random variables given only their marginals and possibly ...
openaire +1 more source
Determination of digital voltmeter input parameters
2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 2007The digital voltmeter input circuitry can contribute to measurement uncertainty, and is therefore important to characterize it. In this paper the methods for the determination of input resistance, capacitance and input bias current of the precise digital voltmeters HP 3458A are presented.
Malarić, Roman +2 more
openaire +2 more sources