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IEEE Transactions on Automatic Control, ISSN 0018-9286, 06/2012, Volume 57, Issue 6, pp. 1511 - 1515
Journal Article
Asian Journal of Control, ISSN 1561-8625, 03/2017, Volume 19, Issue 2, pp. 728 - 738
In the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully... 
Modal Kalman Filter | nonlinear filtering | Modal series | Extended Kalman Filter | SYSTEMS | AUTOMATION & CONTROL SYSTEMS | Electrical engineering | Control systems | College teachers
Journal Article
Advances in Space Research, ISSN 0273-1177, 01/2019, Volume 63, Issue 2, pp. 1038 - 1050
This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman Filter and Unscented... 
Attitude estimation | Unscented Kalman Filter | Euler angles | Extended Kalman Filter | Real data | Cubature Kalman Filter | GEOSCIENCES, MULTIDISCIPLINARY | ASTRONOMY & ASTROPHYSICS | METEOROLOGY & ATMOSPHERIC SCIENCES
Journal Article
Automatica, ISSN 0005-1098, 06/2016, Volume 68, pp. 169 - 178
The paper addresses consensus-based networked estimation of the state of a nonlinear dynamical system. The focus is on a family of distributed state estimation... 
Networked systems | Distributed state estimation | Nonlinear filters | Sensor fusion | Stability analysis | Kalman filters | Consensus | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Measuring instruments | Sensors | Algorithms | Analysis | Networks | Target tracking | Fuses | Stability | Nonlinearity | Dynamical systems | State estimation | Extended Kalman filter
Journal Article
by Daum, F
IEEE Aerospace and Electronic Systems Magazine, ISSN 0885-8985, 08/2005, Volume 20, Issue 8, pp. 57 - 69
Nonlinear filters can provide estimation accuracy that is vastly superior to extended Kalman filters for some important practical applications. We compare... 
Costs | Shape measurement | Nonlinear filters | Filtering algorithms | Particle filters | Covariance matrix | Proposals | Computational complexity | State estimation | Physics | ENGINEERING, AEROSPACE | ENGINEERING, ELECTRICAL & ELECTRONIC | Monte Carlo methods | Filtering | Filtration | Nonlinearity | Kalman filters | Density | Extended Kalman filter
Journal Article
Journal of Physics A: Mathematical and Theoretical, ISSN 1751-8113, 05/2017, Volume 50, Issue 22, p. 225301
In quantum physics, a stochastic master equation (SME) estimates the state (density operator) of a quantum system in the Schrodinger picture based on a record... 
homodyne detection and photon counting | stochastic master equation | extended Kalman filter | Kalman filter | quantum filtering | STATES | OPERATOR DIFFERENTIABLE FUNCTIONS | STOCHASTIC PROCESSES | PHYSICS, MULTIDISCIPLINARY | STABILITY | BEHAVIOR | TIME | PHYSICS, MATHEMATICAL | MECHANICS | SYSTEMS | OBSERVER | FEEDBACK
Journal Article
Journal of Guidance, Control, and Dynamics, ISSN 0731-5090, 04/2015, Volume 38, Issue 4, pp. 752 - 760
A new algorithm is proposed that smoothly incorporates the nonlinear estimation of the attitude quaternion using Davenport's q-method and the estimation of... 
ATTITUDE-DETERMINATION | SPACECRAFT ATTITUDE | INSTRUMENTS & INSTRUMENTATION | VECTOR OBSERVATIONS | QUATERNION ESTIMATION | REQUEST | ALGORITHM | ENGINEERING, AEROSPACE | QUEST | Nonlinear dynamics | Analogies | Algorithms | Computer simulation | Quaternions | Nonlinearity | Mathematical models | Extended Kalman filter
Journal Article
Journal Article
Applied Energy, ISSN 0306-2619, 2012, Volume 92, pp. 694 - 704
Journal Article
International Journal of Dynamics and Control, ISSN 2195-268X, 9/2019, Volume 7, Issue 3, pp. 981 - 995
In this paper, based on Modal series, a new filter is proposed for a nonlinear system state estimation. Modal series is a new method to obtain a closed-form... 
Engineering | Vibration, Dynamical Systems, Control | Modal series | Nonlinear filtering | Control and Systems Theory | Modal Kalman filter | Complexity
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 01/2014, Volume 59, Issue 1, pp. 273 - 279
Journal Article
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