Results 11 to 20 of about 359,270 (146)
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
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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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Challenges with bearings only tracking for missile guidance systems and how to cope with them. [PDF]
, 2010 This paper addresses the problem of closed loop missile guidance using bearings and target angular extent information. Comparison is performed between particle filtering methods and derivative free methods.
Mihaylova, Lyudmila +2 more
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Mobility Tracking in Cellular Networks Using Particle Filtering. [PDF]
, 2007 Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view.
Mihaylova, L +14 more
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IET Radar, Sonar & Navigation, 2023 The existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and timeâvarying, resulting in large positioning errors.
Xuming Fang, Dandan Huang
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A New Strategy for Combining Nonlinear Kalman Filters With Smooth Variable Structure Filters
IEEE Access, 2023 Bayesian filters exemplified by the celebrated Kalman Filter (KF), and its non-linear variants rely on a fairly accurate state-space model of the system under study.
Salman Akhtar +3 more
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The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
Sensors, 2021 State estimation is widely used in various automated systems, including IoT systems, unmanned systems, robots, etc. In traditional state estimation, measurement data are instantaneous and processed in real time.
Xue-Bo Jin +4 more
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Global Systems for Mobile Position Tracking Using Kalman and Lainiotis Filters
The Scientific World Journal, 2014 We present two time invariant models for Global Systems for Mobile (GSM) position tracking, which describe the movement in x-axis and y-axis simultaneously or separately.
Nicholas Assimakis, Maria Adam
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Non-Linear Filtering for Precise Point Positioning GPS/INS integration [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This research investigates the performance of non-linear estimation filtering for GPS-PPP/MEMS-based inertial system. Although integrated GPS/INS system involves nonlinear motion state and measurement models, the most common estimation filter employed ...
M. Abd Rabbou, A. El-Rabbany
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Friction coefficient estimation using an unscented Kalman filter [PDF]
, 2014 The friction coefficient between a railway wheel and rail surface is a crucial factor in maintaining high acceleration and braking performance of railway vehicles; therefore, monitoring this friction coefficient is important.
Liang, Bo, Zhao, Yunshi, Iwnicki, Simon
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