A variational marginalized particle filter for jump Markov nonlinear systems with unknown transition probabilities

Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach

(2020) Zepeng Ning et al.   AUTOMATICA

Model Reduction of Markovian Jump Systems With Uncertain Probabilities

(2019) Ying Shen et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Advances in Variational Inference

(2018) Cheng Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Reliable Filtering of Nonlinear Markovian Jump Systems: The Continuous-Time Case

(2017) Zheng-Guang Wu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

H∞ and H2 filtering for linear systems with uncertain Markov transitions

(2016) Xianwei Li et al.   AUTOMATICA

Recursive Maximum Likelihood Identification of Jump Markov Nonlinear Systems

(2015) Emre Ozkan et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Recursive estimation of transition probabilities for jump Markov linear systems under minimum Kullback–Leibler divergence criterion

(2015) Rui Guo et al.   IET Control Theory and Applications

Robust Filtering for Nonlinear Nonhomogeneous Markov Jump Systems by Fuzzy Approximation Approach

(2015) Yanyan Yin et al.   IEEE Transactions on Cybernetics

Input—Output Approach to Control for Fuzzy Markov Jump Systems With Time-Varying Delays and Uncertain Packet Dropout Rate

(2015) Lixian Zhang et al.   IEEE Transactions on Cybernetics

Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments

(2014) Christopher Nemeth et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Bayesian estimation of Dirichlet mixture model with variational inference

(2014) Zhanyu Ma et al.   PATTERN RECOGNITION

Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters

(2013) Emre Özkan et al.   AUTOMATICA

A Robust Particle Filtering Algorithm With Non-Gaussian Measurement Noise Using Student-t Distribution

(2013) Dingjie Xu et al.   IEEE SIGNAL PROCESSING LETTERS

State estimation in non-linear Markov jump systems with uncertain switching probabilities

(2012) S. Zhao et al.   IET Control Theory and Applications

A multi-model sequential Monte Carlo methodology for indoor tracking: Algorithms and experimental results

(2012) Katrin Achutegui et al.   SIGNAL PROCESSING

Bayesian Estimation of Beta Mixture Models with Variational Inference

(2011) Zhanyu Ma et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Online EM Algorithm for Hidden Markov Models

(2011) Olivier Cappé   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

ML Estimation of Transition Probabilities in Jump Markov Systems via Convex Optimization

(2010) Gang Wang   IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

The variational approximation for Bayesian inference

(2009) Dimitris G. Tzikas et al.   IEEE SIGNAL PROCESSING MAGAZINE

Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations

(2009) S. Sarkka et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Maximum Likelihood Estimation of Transition Probabilities of Jump Markov Linear Systems

(2008) U. Orguner et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING