Results 11 to 20 of about 54,250 (215)
Entropy, 2021 In this study, an intelligent computing paradigm built on a nonlinear autoregressive exogenous (NARX) feedback neural network model with the strength of deep learning is presented for accurate state estimation of an underwater passive target.
Wasiq Ali +4 more
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Data and Program Structure for a Modular Extended Kalman Filter [PDF]
Modeling, Identification and Control, 1988 The paper presents a data and program structure that makes it easier to implement a nonlinear process or measurement model when using the extended Kalman filter. This is achieved by a composite data type containing both the estimated value and covariance
Ingar Solberg
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Derivative-Free Distributed Filtering for MIMO Robotic Systems under Delays and Packet Drops
International Journal of Advanced Robotic Systems, 2013 This paper presents an approach to distributed state estimation-based control of nonlinear MIMO systems, capable of incorporating delayed measurements in the estimation algorithm while also being robust to packet losses.
Gerasimos G. Rigatos
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Bayesian Nonlinear Filtering via Information Geometric Optimization
Entropy, 2017 In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li +5 more
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International Journal of Advanced Robotic Systems, 2011 The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be ...
Gerasimos G. Rigatos
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A Novel Real-Time Filtering Method to General Nonlinear Filtering Problem Without Memory
IEEE Access, 2021 In this paper, the filtering problem for the general time-invariant nonlinear state-observation system is considered. Our work is based on the Yau-Yau filtering framework developed by S.-T. Yau and the third author in 2008.
Ji Shi +2 more
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Adaptive UKF Algorithm for GNSS/SINS Integrated Navigation Based on Allan Variance Model [PDF]
Hangkong bingqiThe GNSS/SINS integrated navigation system is a typical nonlinear system， so the nonlinear filtering methods is one of the effective ways to improve its filtering performance.
Liu Siming, Lin Xueyuan, Qiao Yuxin
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Nonlinear Analysis of the BOLD Signal
EURASIP Journal on Advances in Signal Processing, 2009 The linearized filtering approach to the hemodynamic system is limited in capturing the inherent nonlinearities of physiological systems. The nonlinear estimation method therefore should be thought of as a natural way to access the nonlinear data ...
Zhenghui Hu +3 more
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Variance-Constrained Multiobjective Control and Filtering for Nonlinear Stochastic Systems: A Survey
Abstract and Applied Analysis, 2013 The multiobjective control and filtering problems for nonlinear stochastic systems with variance constraints are surveyed. First, the concepts of nonlinear stochastic systems are recalled along with the introduction of some recent advances.
Lifeng Ma +3 more
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Density Difference Grid Design in a Point-Mass Filter
Energies, 2020 The paper deals with the Bayesian state estimation of nonlinear stochastic dynamic systems. The stress is laid on the point-mass filter, solving the Bayesian recursive relations for the state estimate conditional density computation using the ...
Jakub Matoušek +2 more
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