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SIAMCO
2002
86views more  SIAMCO 2002»
13 years 4 months ago
On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
The paper introduces a new detectability concept for continuous-time Markov jump linear systems with finite Markov space that generalizes previous concepts found in the literature....
Eduardo F. Costa, João Bosco Ribeiro do Val
HYBRID
2007
Springer
13 years 11 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
IJSNET
2007
155views more  IJSNET 2007»
13 years 4 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
CDC
2010
IEEE
169views Control Systems» more  CDC 2010»
12 years 12 months ago
Consensus-based distributed linear filtering
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
Ion Matei, John S. Baras
TKDE
2010
150views more  TKDE 2010»
13 years 3 months ago
Prospective Infectious Disease Outbreak Detection Using Markov Switching Models
—Accurate and timely detection of infectious disease outbreaks provides valuable information which can enable public health officials to respond to major public health threats in...
Hsin-Min Lu, Daniel Zeng, Hsinchun Chen