Results 11 to 20 of about 1,938,747 (236)
Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
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Comparisons of nonlinear estimators for wastewater treatment plants [PDF]
, 2012 This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF ...
Villanova, Ramon +2 more
core +4 more sources
Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
, 2009 For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Nemra, A.
core +8 more sources
Kalman interpolation filter for channel estimation of LTE downlink in high-mobility environments [PDF]
, 2012 The estimation of fast-fading LTE downlink channels in high-speed applications of LTE advanced is investigated in this article. In order to adequately track the fast time-varying channel response, an adaptive channel estimation and interpolation ...
Dai, Xuewu +14 more
core +2 more sources
An unscented Kalman filter for freeway traffic estimation [PDF]
, 2006 This paper addresses the problem of freeway tra±c flow estimation. The freeway is considered as a network of components representing different freeway stretches called segments.
Boel, R., Hegiy, A., Mihaylova, L.
core +5 more sources
Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation [PDF]
, 2011 Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data.
Jose Manuel Andujar Marquez +11 more
core +1 more source
Extended Object Tracking Using Monte Carlo Methods. [PDF]
, 2008 —This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended object tracking are proposed: an Interacting Multiple Model Data Augmentation (IMM ...
Angelova, D, Mihaylova, L
core +4 more sources
Simultaneous Localization and Mapping Based on Kalman Filter and Extended Kalman Filter [PDF]
Wireless Communications and Mobile Computing, 2020 For more than two decades, the issue of simultaneous localization and mapping (SLAM) has gained more attention from researchers and remains an influential topic in robotics. Currently, various algorithms of the mobile robot SLAM have been investigated.
Inam Ullah 0001 +3 more
openaire +2 more sources
Advances in Mechanical Engineering, 2017 The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou +3 more
doaj +1 more source
Design of extended Kalman filter for SEPIC converter and comparison to Kalman filter [PDF]
SN Applied Sciences, 2020 Single ended primary inductance converter (SEPIC) is a type of DC-DC converter whose industrial applications include maximum power point tracking and Active power factor correction. Owing to present nonlinear circuit components, SEPIC has discontinuous nonlinearity and for the mathematical model determination, state space averaging or more advanced ...
Artun Sel, Cosku Kasnakoglu
openaire +2 more sources