Consistency and rate of convergence of switched least squares system identification for autonomous Markov jump linear systems

B Sayedana, M Afshari, PE Caines… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
In this paper, we investigate the problem of system identification for autonomous Markov
jump linear systems (MJS) with complete state observations. We propose switched least …

Strong consistency and rate of convergence of switched least squares system identification for autonomous markov jump linear systems

B Sayedana, M Afshari, PE Caines… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

[PDF][PDF] Consistency and rate of convergence of switched least squares system identification for autonomous switched linear systems

B Sayedana, M Afshari, PE Caines… - Proceedings of Machine …, 2022 - ece.mcgill.ca
In this paper, we investigate the problem of system identification for autonomous switched
linear systems with complete state observations. We propose switched least squares …

Iterative algorithms for state estimation of jump Markov linear systems

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 …

Accurate and fast parameter identification of conditionally Gaussian Markov jump linear system with input control

H Li, K Zhang - Automatica, 2022 - Elsevier
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 …

Stochastic sampling algorithms for state estimation of jump Markov linear systems

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 …

Active estimation for jump Markov linear systems

L Blackmore, S Rajamanoharan… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Jump Markov Linear Systems are convenient models for systems that exhibit both
continuous dynamics and discrete mode changes. Estimating the hybrid discrete-continuous …

On state estimation of discrete-time Markov jump linear systems

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 …

A general framework for the identification of jump Markov linear systems

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 …

MAP state sequence estimation for jump Markov linear systems via the expectation-maximization algorithm

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 …