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state estimation (60) 60
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IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, 04/2015, Volume 51, Issue 2, pp. 1403 - 1421
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 01/2015, Volume 60, Issue 1, pp. 253 - 258
Journal Article
International Journal of Applied Mathematics and Computer Science, ISSN 1641-876X, 12/2014, Volume 24, Issue 4, pp. 795 - 807
The paper considers the problem of active fault diagnosis for discrete-time stochastic systems over an infinite time horizon. It is assumed that the switching... 
dynamic programming | optimal input design | active fault detection | non-linear stochastic systems | MATHEMATICS, APPLIED | DESIGN | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Fault diagnosis | Nonlinear dynamics | Detectors | Nonlinearity | Mathematical models | Non-Gaussian | Dynamical systems | Optimization
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 02/2017, Volume 62, Issue 2, pp. 967 - 972
The technical note focuses on the estimation of the noise covariance matrices of the state space models. Stress is laid on the autocovariance least-squares... 
Linear systems | Technological innovation | Correlation | Upper bound | Estimation | Kalman filter | state estimation | Covariance matrices | Time-varying systems | Covariance estimation | LINEAR-SYSTEMS | STATISTICS | IDENTIFICATION | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Kalman filtering | Least squares method
Journal Article
Lecture Notes in Electrical Engineering, ISSN 1876-1100, 2016, Volume 383, pp. 355 - 370
Conference Proceeding
Journal of Physics: Conference Series, ISSN 1742-6588, 2014, Volume 570, pp. 1 - 12
The paper deals with state estimation of nonlinear stochastic discrete-time systems with a special focus on filters providing a point estimate of the state.... 
state estimation | Kalman filtering | nonlinear filters | non-Gaussianity measures | performance diagnosis | Tracking | Paper | Diagnostic systems | Diagnosis | Recursive | Estimates | Dynamical systems | State estimation
Conference Proceeding
Automatica, ISSN 0005-1098, 2009, Volume 45, Issue 7, pp. 1749 - 1757
The derivative-free nonlinear estimation methods exploiting the Stirling’s interpolation and the unscented transformation for discrete-time nonlinear... 
Filtering techniques | Stochastic systems | State estimation | Nonlinear systems | Estimation theory | FILTERS | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Interpolation | Covariance | Mathematical analysis | Nonlinearity | Gaussian | Matrices | Transformations
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 09/2012, Volume 57, Issue 9, pp. 2411 - 2416
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 2014, Volume 570, pp. 1 - 12
The paper presents a nonlinear analysis of position estimation based on a global navigation satellite system. A classical problem formulation and iterative... 
Global navigation satellite system | Jacobian matrix | Theorems | Sensitivity analysis | Safety critical | Nonlinearity | Polynomials | Estimates
Conference Proceeding
Automatica, ISSN 0005-1098, 2009, Volume 45, Issue 9, pp. 2052 - 2059
A new unified formulation of the active fault detection and control problem for discrete-time stochastic systems and its optimal solution are proposed. The... 
Discrete-time systems | Dynamic programming | Fault detection | Optimal control | Optimal experiment design | FAILURE-DETECTION | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Mathematical optimization | Detectors | Strategy | Signal generators | Mathematical models | Stochasticity | Active control | Optimization
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 2014, Volume 570, pp. 1 - 9
This paper is concerned with the problem of recursive system identification using non-parametric Gaussian process model. Non-linear stochastic system in... 
Demand | Algorithms | Computer simulation | Computation | Recursive functions | Gaussian | System identification | Recursive
Conference Proceeding
Automatica, ISSN 0005-1098, 02/2012, Volume 48, Issue 2, pp. 273 - 286
The paper focuses on the state estimation problem of nonlinear non-Gaussian systems with state subject to a nonlinear inequality constraint. Taking into... 
Inequality constraints | State estimation | Nonlinear systems | Non-Gaussian systems | TARGET | BAYESIAN-ESTIMATION | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Equality | Constraints | Inequalities | Nonlinearity | Gaussian | Computational efficiency | Density | Estimates
Journal Article
Automatica, ISSN 0005-1098, 10/2014, Volume 50, Issue 10, pp. 2657 - 2664
The paper deals with state estimation of the nonlinear stochastic systems by means of the unscented Kalman filter with a focus on specification of the... 
Scaling parameter | Stochastic systems | State estimation | Unscented Kalman filter | Nonlinear filtering | Adaptation | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 06/2013, Volume 58, Issue 6, pp. 1561 - 1566
The technical note deals with state estimation of nonlinear stochastic dynamic systems. Traditional filters providing local estimates of the state, such as the... 
Estimation | stochastic systems | Approximation algorithms | Bayesian filters | state estimation | Vectors | Polynomials | nonlinear filtering | Approximation methods | Kalman filters | Covariance matrices | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Monte Carlo method | Usage | Kalman filtering | Dynamical systems | Stochastic processes | Innovations
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 2014, Volume 570
Conference Proceeding
2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 08/2015, pp. 671 - 676
This paper deals with analysis of suboptimal dual controller design for linear discrete time stochastic system with uncertain parameters. The design of the... 
Probability density function | Cost function | Uncertainty | Approximation methods | Measurement uncertainty | Optimal control | Controllers | Design engineering | Errors | Weighting | Conferences | Mathematical models | Criteria
Conference Proceeding
Kybernetika, ISSN 0023-5954, 2011, Volume 47, Issue 3, pp. 385 - 400
The paper deals with the particle filter in state estimation of a discrete-time nonlinear non-Gaussian system. The goal of the paper is to design a sample size... 
Sample size | Stochastic systems | Particle filter | Nonlinear filtering | Adaptation | stochastic systems | adaptation | nonlinear filtering | particle filter | sample size | COMPUTER SCIENCE, CYBERNETICS
Journal Article
2013 European Control Conference (ECC), 07/2013, pp. 896 - 901
A new implicit dual control method is proposed providing a suboptimal solution of the optimal control problem for discrete linear stochastic state space model... 
Cost function | Uncertainty | Vectors | Approximation methods | Optimal control | Estimation
Conference Proceeding
Automatica, ISSN 0005-1098, 2006, Volume 42, Issue 7, pp. 1133 - 1145
Journal Article
Information Fusion, ISSN 1566-2535, 11/2014, Volume 20, Issue 1, pp. 117 - 128
In state estimation, the output of a filter can consist of a vector estimate with an associated quality matrix or it can be given by a probability density... 
Performance evaluation | Conservative probability density | Nonlinear estimation | Information measures | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
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