Miroslav Simandl

According to our database1, Miroslav Simandl authored at least 75 papers between 2001 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2017
On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation.
IEEE Trans. Autom. Control., 2017

2016
Efficient adaptation of design parameters of derivative-free filters.
Autom. Remote. Control., 2016

2015
Random-point-based filters: analysis and comparison in target tracking.
IEEE Trans. Aerosp. Electron. Syst., 2015

Constrained Active Fault Detection and Control.
IEEE Trans. Autom. Control., 2015

A simplified parametrization of the criterion for the prediction error dual controller.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Use of multiple model change detection for crack detection in Euler-Bernoulli beam.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Bayesian Quadrature Variance in Sigma-Point Filtering.
Proceedings of the Informatics in Control, 2015

Bayesian Quadrature in Nonlinear Filtering.
Proceedings of the ICINCO 2015, 2015

Design of discrete second order filters for continuous-discrete models.
Proceedings of the 18th International Conference on Information Fusion, 2015

Estimation of state and measurement noise characteristics.
Proceedings of the 18th International Conference on Information Fusion, 2015

Approximation of powers of Gaussian mixtures.
Proceedings of the 18th International Conference on Information Fusion, 2015

Infinite time horizon active fault diagnosis based on approximate dynamic programming.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Structure adaptation of nonlinear filters based on non-Gaussianity measures.
Proceedings of the American Control Conference, 2015

Design of a robust fusion of probability densities.
Proceedings of the American Control Conference, 2015

2014
Conservativeness of estimates given by probability density functions: Formulation and aspects.
Inf. Fusion, 2014

Unscented Kalman filter with advanced adaptation of scaling parameter.
Autom., 2014

On infinite horizon active fault diagnosis for a class of non-linear non-Gaussian systems.
Int. J. Appl. Math. Comput. Sci., 2014

Approximation methods for optimal active fault detection.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Gaussian process based dual adaptive control of nonlinear stochastic systems.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Comparison of adaptive and randomized unscented Kalman filter algorithms.
Proceedings of the 17th International Conference on Information Fusion, 2014

Measures of non-Gaussianity in unscented Kaiman filter framework.
Proceedings of the 17th International Conference on Information Fusion, 2014

Deterministic Dirac mixture approximation of Gaussian mixtures.
Proceedings of the 17th International Conference on Information Fusion, 2014

On sigma-point set rotation in derivative-free filters.
Proceedings of the 17th International Conference on Information Fusion, 2014

Covariance Intersection in state estimation of dynamical systems.
Proceedings of the 17th International Conference on Information Fusion, 2014

Linear fusion of estimators with Gaussian mixture errors under unknown dependences.
Proceedings of the 17th International Conference on Information Fusion, 2014

Self-assessment of local filters by non-Gaussianity measures.
Proceedings of the American Control Conference, 2014

2013
Stochastic Integration Filter.
IEEE Trans. Autom. Control., 2013

Dual Adaptive Control for Non-Minimum Phase Systems with Functional Uncertainties.
Proceedings of the 9th IFAC Symposium on Nonlinear Control Systems, 2013

Nonlinear estimation framework: A versatile tool for state estimation.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

Truncated randomized unscented Kalman filter for interval constrained state estimation.
Proceedings of the 16th International Conference on Information Fusion, 2013

Nonlinearity and non-Gaussianity measures for stochastic dynamic systems.
Proceedings of the 16th International Conference on Information Fusion, 2013

On conservativeness of posterior density fusion.
Proceedings of the 16th International Conference on Information Fusion, 2013

Implicit dual controller based on stochastic integration rule.
Proceedings of the 12th European Control Conference, 2013

Aspects and comparison of matrix decompositions in unscented Kalman filter.
Proceedings of the American Control Conference, 2013

Marginal marginalised particle filter.
Proceedings of the American Control Conference, 2013

2012
Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter.
IEEE Trans. Autom. Control., 2012

Truncation nonlinear filters for state estimation with nonlinear inequality constraints.
Autom., 2012

Neural networks in local state estimation.
Proceedings of the 17th International Conference on Methods & Models in Automation & Robotics, 2012

Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance.
Proceedings of the 15th International Conference on Information Fusion, 2012

Randomized unscented Kalman filter in target tracking.
Proceedings of the 15th International Conference on Information Fusion, 2012

Distributed tracking fidelity-metric performance analysis using confusion matrices.
Proceedings of the 15th International Conference on Information Fusion, 2012

Conservative merging of hypotheses given by probability densities.
Proceedings of the 15th International Conference on Information Fusion, 2012

Scaling parameter in unscented transform: Analysis and specification.
Proceedings of the American Control Conference, 2012

2011
Particle filter with adaptive sample size.
Kybernetika, 2011

Performance evaluation of local state estimation methods in bearings-only tracking problems.
Proceedings of the 14th International Conference on Information Fusion, 2011

Gaussian sum unscented Kalman filter with adaptive scaling parameters.
Proceedings of the 14th International Conference on Information Fusion, 2011

Particle based probability density fusion with differential Shannon entropy criterion.
Proceedings of the 14th International Conference on Information Fusion, 2011

An optimization approach to resolve the competing aims of active fault detection and control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Truncated unscented particle filter.
Proceedings of the American Control Conference, 2011

2010
Sequential optimal experiment design for neural networks using multiple linearization.
Neurocomputing, 2010

A Suboptimal Fault-tolerant Dual Controller in Multiple Model Framework.
Proceedings of the ICINCO 2010, 2010

Survey of Estimate Fusion Approaches.
Proceedings of the ICINCO 2010, 2010

Nonlinear estimation framework in target tracking.
Proceedings of the 13th Conference on Information Fusion, 2010

Adaptive choice of scaling parameter in derivative-free local filters.
Proceedings of the 13th Conference on Information Fusion, 2010

Multisensor constrained estimation with unscented transformation.
Proceedings of the 13th Conference on Information Fusion, 2010

Multiple-model filtering with multiple constraints.
Proceedings of the American Control Conference, 2010

Neural network based bicriterial dual control with multiple linearization.
Proceedings of the 10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, 2010

Non-myopic innovations dual controller.
Proceedings of the 10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, 2010

2009
Active fault detection and control: Unified formulation and optimal design.
Autom., 2009

Derivative-free estimation methods: New results and performance analysis.
Autom., 2009

Gaussian mixtures proposal density in particle filter for track-before-detect.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Functional sampling density design for particle filters.
Signal Process., 2008

Nonlinear state prediction by separation approach for continuous-discrete stochastic systems.
Kybernetika, 2008

2007
Gaussian sum approach with optimal experiment design for neural network.
Proceedings of the Signal and Image Processing (SIP 2007), 2007

Sampling Densities of Particle Filter: A Survey and Comparison.
Proceedings of the American Control Conference, 2007

Unified solution of optimal active fault detection and optimal control.
Proceedings of the American Control Conference, 2007

2006
Advanced point-mass method for nonlinear state estimation.
Autom., 2006

2005
Rolling horizon for active fault detection.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Performance analysis of derivative-free filters.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2003
Nonlinear Filtering Methods: Some Aspects and Performance Evaluation.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003

Information Processing Strategies and Multiple Model Fault Detection.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003

2002
Anticipative grid design in point-mass approach to nonlinear state estimation.
IEEE Trans. Autom. Control., 2002

Simulation Monte Carlo methods in extended stochastic volatility models.
Intell. Syst. Account. Finance Manag., 2002

2001
Filtering, predictive, and smoothing Cramér-Rao bounds for discrete-time nonlinear dynamic systems.
Autom., 2001

Gibbs sampler to stochastic volatility models.
Proceedings of the 6th European Control Conference, 2001


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