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ORCIDMiroslav Simandl
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2010 – 2019
- 2017
[j20]Jindrich Duník
, Ondrej Straka, Miroslav Simandl:
On Autocovariance Least-Squares Method for Noise Covariance Matrices Estimation. IEEE Trans. Autom. Control. 62(2): 967-972 (2017)- 2016
- [j19]Miroslav Simandl, Ondrej Straka, Jindrich Duník:
Efficient adaptation of design parameters of derivative-free filters. Autom. Remote. Control. 77(2): 261-276 (2016) - 2015
- [j18]Ivo Puncochár, Jan Siroky, Miroslav Simandl:
Constrained Active Fault Detection and Control. IEEE Trans. Autom. Control. 60(1): 253-258 (2015) - [j17]Jindrich Duník, Ondrej Straka, Miroslav Simandl, Erik Blasch:
Random-point-based filters: analysis and comparison in target tracking. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1403-1421 (2015) - [c55]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Structure adaptation of nonlinear filters based on non-Gaussianity measures. ACC 2015: 3162-3167 - [c54]Jirí Ajgl, Miroslav Simandl:
Design of a robust fusion of probability densities. ACC 2015: 4204-4209 - [c53]Ivo Puncochár, Jan Skach, Miroslav Simandl:
Infinite time horizon active fault diagnosis based on approximate dynamic programming. CDC 2015: 4456-4461 - [c52]Jirí Ajgl, Miroslav Simandl, Jindrich Duník:
Approximation of powers of Gaussian mixtures. FUSION 2015: 878-885 - [c51]Jindrich Duník, Ondrej Straka, Miroslav Simandl, Oliver Kost, Jirí Ajgl, Milos Sotak, Radek Baranek, Zdenek Kana:
Estimation of state and measurement noise characteristics. FUSION 2015: 1817-1824 - [c50]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Design of discrete second order filters for continuous-discrete models. FUSION 2015: 1825-1832 - [c49]Jakub Prüher, Miroslav Simandl:
Bayesian Quadrature Variance in Sigma-Point Filtering. ICINCO (Selected Papers) 2015: 355-370 - [c48]Jakub Prüher, Miroslav Simandl:
Bayesian Quadrature in Nonlinear Filtering. ICINCO (1) 2015: 380-387 - [c47]Marek Feher, Miroslav Simandl, Ivo Puncochár:
Use of multiple model change detection for crack detection in Euler-Bernoulli beam. MMAR 2015: 163-168 - [c46]Miroslav Flídr, Miroslav Simandl:
A simplified parametrization of the criterion for the prediction error dual controller. MMAR 2015: 671-676 - 2014
- [j16]Ivo Puncochár, Miroslav Simandl:
On infinite horizon active fault diagnosis for a class of non-linear non-Gaussian systems. Int. J. Appl. Math. Comput. Sci. 24(4): 795-807 (2014) - [j15]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Unscented Kalman filter with advanced adaptation of scaling parameter. Autom. 50(10): 2657-2664 (2014) - [j14]Jirí Ajgl, Miroslav Simandl:
Conservativeness of estimates given by probability density functions: Formulation and aspects. Inf. Fusion 20: 117-128 (2014) - [c45]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
Self-assessment of local filters by non-Gaussianity measures. ACC 2014: 1723-1728 - [c44]Jirí Ajgl, Miroslav Simandl:
Linear fusion of estimators with Gaussian mixture errors under unknown dependences. FUSION 2014: 1-8 - [c43]Jirí Ajgl, Miroslav Simandl, Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck:
Covariance Intersection in state estimation of dynamical systems. FUSION 2014: 1-7 - [c42]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
On sigma-point set rotation in derivative-free filters. FUSION 2014: 1-8 - [c41]Igor Gilitschenski, Jannik Steinbring, Uwe D. Hanebeck, Miroslav Simandl:
Deterministic Dirac mixture approximation of Gaussian mixtures. FUSION 2014: 1-7 - [c40]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Measures of non-Gaussianity in unscented Kaiman filter framework. FUSION 2014: 1-8 - [c39]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Comparison of adaptive and randomized unscented Kalman filter algorithms. FUSION 2014: 1-8 - [c38]Miroslav Simandl, Jan Skach, Ivo Puncochár:
Approximation methods for optimal active fault detection. MED 2014: 103-108 - [c37]Ladislav Král, Jakub Prüher, Miroslav Simandl:
Gaussian process based dual adaptive control of nonlinear stochastic systems. MED 2014: 1074-1079 - 2013
- [j13]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
Stochastic Integration Filter. IEEE Trans. Autom. Control. 58(6): 1561-1566 (2013) - [c36]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Jindrich Havlik:
Aspects and comparison of matrix decompositions in unscented Kalman filter. ACC 2013: 3075-3080 - [c35]Jirí Ajgl, Miroslav Simandl:
Marginal marginalised particle filter. ACC 2013: 3081-3086 - [c34]Miroslav Flídr, Miroslav Simandl:
Implicit dual controller based on stochastic integration rule. ECC 2013: 896-901 - [c33]Jirí Ajgl, Miroslav Simandl:
On conservativeness of posterior density fusion. FUSION 2013: 85-92 - [c32]Jindrich Duník, Ondrej Straka, Miroslav Simandl:
Nonlinearity and non-Gaussianity measures for stochastic dynamic systems. FUSION 2013: 204-211 - [c31]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Jindrich Havlik:
Truncated randomized unscented Kalman filter for interval constrained state estimation. FUSION 2013: 2081-2088 - [c30]Miroslav Flídr, Ondrej Straka, Jindrich Havlik, Miroslav Simandl:
Nonlinear estimation framework: A versatile tool for state estimation. MMAR 2013: 490-495 - [c29]Ladislav Král, Miroslav Simandl:
Dual Adaptive Control for Non-Minimum Phase Systems with Functional Uncertainties. NOLCOS 2013: 815-820 - 2012
- [j12]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Truncation nonlinear filters for state estimation with nonlinear inequality constraints. Autom. 48(2): 273-286 (2012) - [j11]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter. IEEE Trans. Autom. Control. 57(9): 2411-2416 (2012) - [c28]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Scaling parameter in unscented transform: Analysis and specification. ACC 2012: 5550-5555 - [c27]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Randomized unscented Kalman filter in target tracking. FUSION 2012: 503-510 - [c26]Jirí Ajgl, Miroslav Simandl:
Conservative merging of hypotheses given by probability densities. FUSION 2012: 1884-1890 - [c25]Ondrej Straka, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance. FUSION 2012: 2004-2011 - [c24]Erik Blasch, Ondrej Straka, Chun Yang, Di Qiu, Miroslav Simandl, Jirí Ajgl:
Distributed tracking fidelity-metric performance analysis using confusion matrices. FUSION 2012: 2012-2019 - [c23]Ladislav Král, Miroslav Simandl:
Neural networks in local state estimation. MMAR 2012: 250-255 - 2011
- [j10]Ondrej Straka, Miroslav Simandl:
Particle filter with adaptive sample size. Kybernetika 47(3): 385-400 (2011) - [c22]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Truncated unscented particle filter. ACC 2011: 1825-1830 - [c21]Jan Siroky, Miroslav Simandl, Daniel Axehill, Ivo Puncochár:
An optimization approach to resolve the competing aims of active fault detection and control. CDC/ECC 2011: 3712-3717 - [c20]Jirí Ajgl, Miroslav Simandl:
Particle based probability density fusion with differential Shannon entropy criterion. FUSION 2011: 1-8 - [c19]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Gaussian sum unscented Kalman filter with adaptive scaling parameters. FUSION 2011: 1-8 - [c18]Ondrej Straka, Jindrich Duník, Miroslav Simandl:
Performance evaluation of local state estimation methods in bearings-only tracking problems. FUSION 2011: 1-8 - 2010
- [j9]Pavel Hering, Miroslav Simandl:
Sequential optimal experiment design for neural networks using multiple linearization. Neurocomputing 73(16-18): 3284-3290 (2010) - [c17]Miroslav Flídr, Miroslav Simandl:
Non-myopic innovations dual controller. ALCOSP 2010: 243-248 - [c16]Ladislav Král, Miroslav Simandl:
Neural network based bicriterial dual control with multiple linearization. ALCOSP 2010: 271-276 - [c15]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Multiple-model filtering with multiple constraints. ACC 2010: 6858-6863 - [c14]Jirí Ajgl, Miroslav Simandl:
Multisensor constrained estimation with unscented transformation. FUSION 2010: 1-7 - [c13]Jindrich Duník, Miroslav Simandl, Ondrej Straka:
Adaptive choice of scaling parameter in derivative-free local filters. FUSION 2010: 1-8 - [c12]Ondrej Straka, Miroslav Flídr, Jindrich Duník, Miroslav Simandl, Erik Blasch:
Nonlinear estimation framework in target tracking. FUSION 2010: 1-8 - [c11]Ivo Puncochár, Miroslav Simandl:
A Suboptimal Fault-tolerant Dual Controller in Multiple Model Framework. ICINCO (3) 2010: 93-98 - [c10]Jirí Ajgl, Miroslav Simandl:
Survey of Estimate Fusion Approaches. ICINCO (3) 2010: 191-196
2000 – 2009
- 2009
- [j8]Miroslav Simandl, Jindrich Duník:
Derivative-free estimation methods: New results and performance analysis. Autom. 45(7): 1749-1757 (2009) - [j7]Miroslav Simandl, Ivo Puncochár:
Active fault detection and control: Unified formulation and optimal design. Autom. 45(9): 2052-2059 (2009) - [c9]Ondrej Straka, Miroslav Simandl, Jindrich Duník:
Gaussian mixtures proposal density in particle filter for track-before-detect. FUSION 2009: 270-277 - 2008
- [j6]Jaroslav Svácha, Miroslav Simandl:
Nonlinear state prediction by separation approach for continuous-discrete stochastic systems. Kybernetika 44(1): 61-74 (2008) - [j5]Miroslav Simandl, Ondrej Straka:
Functional sampling density design for particle filters. Signal Process. 88(11): 2784-2789 (2008) - 2007
- [c8]Miroslav Simandl, Ivo Puncochár:
Unified solution of optimal active fault detection and optimal control. ACC 2007: 3222-3227 - [c7]Miroslav Simandl, Ondrej Straka:
Sampling Densities of Particle Filter: A Survey and Comparison. ACC 2007: 4437-4442 - [c6]Pavel Hering, Miroslav Simandl:
Gaussian sum approach with optimal experiment design for neural network. SIP 2007: 428-433 - 2006
- [j4]Miroslav Simandl, Jakub Královec, Torsten Söderström:
Advanced point-mass method for nonlinear state estimation. Autom. 42(7): 1133-1145 (2006) - 2005
- [c5]Jindrich Duník, Miroslav Simandl, Ondrej Straka, Ladislav Král:
Performance analysis of derivative-free filters. CDC/ECC 2005: 1941-1946 - [c4]Miroslav Simandl, Ivo Puncochár, Jakub Královec:
Rolling horizon for active fault detection. CDC/ECC 2005: 3789-3794 - 2003
- [c3]Miroslav Simandl, Ondrej Straka:
Nonlinear Filtering Methods: Some Aspects and Performance Evaluation. Modelling, Identification and Control 2003: 67-72 - [c2]Miroslav Simandl, Petr Herejt:
Information Processing Strategies and Multiple Model Fault Detection. Modelling, Identification and Control 2003: 347-352 - 2002
- [j3]Miroslav Simandl, Tomás Soukup:
Simulation Monte Carlo methods in extended stochastic volatility models. Intell. Syst. Account. Finance Manag. 11(2): 109-117 (2002) - [j2]Miroslav Simandl, Jakub Královec, Torsten Söderström:
Anticipative grid design in point-mass approach to nonlinear state estimation. IEEE Trans. Autom. Control. 47(4): 699-702 (2002) - 2001
- [j1]Miroslav Simandl, Jakub Královec, Petr Tichavský:
Filtering, predictive, and smoothing Cramér-Rao bounds for discrete-time nonlinear dynamic systems. Autom. 37(11): 1703-1716 (2001) - [c1]Miroslav Simandl, Tomás Soukup:
Gibbs sampler to stochastic volatility models. ECC 2001: 1094-1099
Coauthor Index
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