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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
14 years 17 days ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 8 months ago
Significant Diagnostic Counterexamples in Probabilistic Model Checking
Abstract. This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov chains and Markov Decision Processes. (Finite) paths in coun...
Miguel E. Andrés, Pedro R. D'Argenio, Peter...
AMC
2008
99views more  AMC 2008»
13 years 8 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
JSSPP
2004
Springer
14 years 1 months ago
Parallel Computer Workload Modeling with Markov Chains
Abstract. In order to evaluate different scheduling strategies for parallel computers, simulations are often executed. As the scheduling quality highly depends on the workload tha...
Baiyi Song, Carsten Ernemann, Ramin Yahyapour
ICC
2009
IEEE
184views Communications» more  ICC 2009»
14 years 3 months ago
A 3-D Markov Chain Queueing Model of IEEE 802.11 DCF with Finite Buffer and Load
—We introduce a 3-dimensional Markov chain that integrates the IEEE 802.11 DCF contention resolution and queueing processes into one model. Important QoS measures, delay and loss...
Ren Ping Liu, Gordon Sutton, Iain B. Collings