Results 61 to 70 of about 35,356 (190)

An optimization approach to adaptive Kalman filtering

Automatica, 2009
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Karasalo, Maja, Hu, Xiaoming
openaire   +4 more sources

Improved State-of-Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Parameter Estimation and Multi-Innovation Adaptive Robust Unscented Kalman Filter

Energies
In this study, an improved adaptive robust unscented Kalman Filter (ARUKF) is proposed for an accurate state-of-charge (SOC) estimation of battery management system (BMS) in electric vehicles (EV). The extended Kalman Filter (EKF) algorithm is first used
Cheng Li, Gi-Woo Kim
doaj   +1 more source

Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps

Complex & Intelligent Systems
In this paper, we present a novel localization algorithm for mobile robots navigating in complex planar environments, a critical capability for various real-world applications such as autonomous driving, robotic assistance, and industrial automation ...
Domonkos Csuzdi, Tamás Bécsi, Péter Gáspár, Olivér Törő   +3 more
doaj   +1 more source

Investigation of the Multiple Method Adaptive Control (MMAC) method for flight control systems [PDF]

The stochastic adaptive control of the NASA F-8C digital-fly-by-wire aircraft using the multiple model adaptive control (MMAC) method is presented. The selection of the performance criteria for the lateral and the longitudinal dynamics, the design of the
Athans, M., Baram, Y., Castanon, D., Dunn, K. P., Green, C. S., Lee, W. H., Sandell, N. R., Jr., Willsky, A. S.   +7 more
core   +1 more source

Optimization of MLS receivers for multipath environments [PDF]

Optimal design studies of MLS angle-receivers and a theoretical design-study of MLS DME-receivers are reported. The angle-receiver results include an integration of the scan data processor and tracking filter components of the optimal receiver into a ...
Irwin, S. H., Mcalpine, G. A., NELSON, Roleyni, G.   +3 more
core   +1 more source

Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing

IEEE Access
The Kalman filter is one of the best-known and most frequently used methods for dynamic state estimation. In addition to a measurement and state transition model, the Kalman filter requires knowledge about the covariance of the measurement and process ...
Theresa Kruse, Thomas Griebel, Knut Graichen   +2 more
doaj   +1 more source

Adaptive Robust Extended Kalman Filter

, 2009
The AREKF is proposed here as a modification of the REKF, that switches between the REKF mode and the normal EKF mode under the control of the innovation. In the presence of large external disturbances, the proposed algorithm is more effective than the REKF to ensure boundedness of the estimation error. On the other hand, in the absence of disturbances,
Xiong, Kai, Zhang, Hongyue, Liu, Liangdong   +2 more
openaire   +3 more sources

F-8C adaptive flight control extensions [PDF]

An adaptive concept which combines gain-scheduled control laws with explicit maximum likelihood estimation (MLE) identification to provide the scheduling values is described.
Hartmann, G. L., Stein, G.
core   +1 more source

Extended Kalman Filter Based Fuzzy Adaptive Filter

, 2009
Fundamentals of fuzzy logic, fuzzy logic system, equalizer, adaptive equalizer and fuzzy adaptive equalizer are described in this chapter. A new fuzzy adaptive equalizer with extended Kalman filter adaptation (EKFAE) had been derived in this chapter for communication channel equalization.
Wong, Wai Kit, Lim, Heng Siong
openaire   +3 more sources

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source