In this article, we investigate the problem of system identification for autonomous Markov jump linear systems (MJS) with complete state observations. We propose switched least …
In this paper, we investigate the problem of system identification for autonomous switched linear systems with complete state observations. We propose switched least squares …
A Doucet, C Andrieu - IEEE transactions on signal processing, 2001 - ieeexplore.ieee.org
Jump Markov linear systems (JMLSs) are linear systems whose parameters evolve with time according to a finite state Markov chain. Given a set of observations, our aim is to estimate …
Identifying the Markov jump systems accurately and rapidly is a challenging task due to the complexity of hidden state expectation exponentially increases along with the data length …
A Doucet, A Logothetis… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
Jump Markov linear systems are linear systems whose parameters evolve with time according to a finite-state Markov chain. Given a set of observations, our aim is to estimate …
Jump Markov Linear Systems are convenient models for systems that exhibit both continuous dynamics and discrete mode changes. Estimating the hybrid discrete-continuous …
W Liu, H Zhang - 2009 Chinese Control and Decision …, 2009 - ieeexplore.ieee.org
This paper is concerned with state estimation problem for discrete-time Markov jump linear systems. A novel recursive algorithm for estimating the state of the considered systems is …
E Cinquemani, R Porreca… - 2007 46th IEEE …, 2007 - ieeexplore.ieee.org
This paper concerns parameter identification for the class of jump Markov linear systems. We present recursive formulae for the computation of the second-order statistics of a jump …
A Logothetis, V Krishnamurthy - Proceedings of the 36th IEEE …, 1997 - ieeexplore.ieee.org
In a jump Markov linear system the state matrix, observation matrix and the noise covariance matrices evolve according to the realization of a finite state Markov chain. Given a realization …