نتایج جستجو برای: state ivrl filter

تعداد نتایج: 965368  

Journal: :Water security in a new world 2023

Abstract This chapter discusses the methodological approach for natural assurance schemes (NAS). We developed and applied methodologies strategies to increase readiness in technology (TRL), institutions (IRL) investment/financing (IVRL) illustrated them contrasting case studies. To assess how is crafted effectively green water risk reduction security plans, we propose an integrated analytical f...

In this paper a new method is introduced for path planning of an autonomous vehicle. In this method, the environment is considered cluttered and with some uncertainty sources. Thus, the state of detected object should be estimated using an optimal filter. To do so, the state distribution is assumed Gaussian. Thus the state vector is estimated by a Kalman filter at each time step. The estimation...

Journal: :iranian journal of oil & gas science and technology 2014
karim salahshoor mohammad ghesmat mohammad reza shishesaz

this paper presents a new multi-sensor data fusion method based on the combination of wavelettransform (wt) and extended kalman filter (ekf). input data are first filtered by a wavelettransform via daubechies wavelet “db4” functions and the filtered data are then fused based onvariance weights in terms of minimum mean square error. the fused data are finally treated byextended kalman filter for...

منفرد, محمد, موحدی تبار, علی,

This paper presents a new approach for single-phase shunt active power filter with LCL output filter based on the two-loop control theory. In this method unlike the conventional two loop control, internal loop stability theorem with considering delay effect is studied. Moreover, an observer based on the Kalman-filter is combined with the proposed control scheme, to reducing the numbers of power...

and H. R. Momeni, M. Jafarboland, N. Sadati,

Control of a class of uncertain nonlinear systems, which estimates unavailable state variables, is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman ...

2003
N. D. Assimakis E. Z. Psarakis D. G. Lainiotis

In this paper a new approach for the steady state Kalman Filter implementation is proposed. The method is faster than the classical one; this is very important due to the fact that, in most real-time applications, it is essential to obtain the estimate in the shortest possible time.

and H. R. Momeni, M. Jafarboland, N. Sadati,

Control of a class of uncertain nonlinear systems, which estimates unavailable state variables, is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman ...

Dadi, Gh. Mohammad, Pariz, N.,

The estimation of situation in a combinational navigation GPS/INS with least number of satellites is the main purpose of this paper. As inertial measurement unit uses altimeter for height measurement, we can assume which height poses certain amounts, whereas geographical length and width are unknown to us in this paper. The single difference GPS is employed for updating the inertial navigation ...

Journal: :journal of artificial intelligence in electrical engineering 2016
parisa alipour mehdi salimi

although lcl filters are used widely in the grid connected inverters to reduce high-orderharmonics, such a system increases system order and therefore sustainable design of closed-loopcontroller system will be complicated. recently, the single-loop control strategy has beensuggested for l or lc filter based grid-connected inverters. however, the use of single-loopcontrol directly in lcl filter-...

This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in terms of minimum mean square error. The fused data are finally treated by extended Kalman filter...

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