A multi-cluster time aggregation approach for Markov chains-Reference-Cited by-同舟云学术

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A multi-cluster time aggregation approach for Markov chains

Published:2019-01 Issue: Volume:99 Page:382-389
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Arruda Edilson,Fragoso Marcelo,Ourique Fabricio

Funder

Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro, FAPERJ

Brazilian national research council - CNPq

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference25 articles.

1. Aggregation of the policy iteration method for nearly completely decomposable Markov chains;Aldhaheri;IEEE Transactions on Automatic Control,1991

2. Time aggregated Markov decision processes via standard dynamic programming;Arruda;Operations Research Letters,2011

3. Arruda, E. F., Fragoso, M. D., & Ourique, F. O. (2017). Multi-partition time aggregation for Markov chains. In 2017 IEEE 56th annual conference on decision and control (pp. 4922–4927). http://dx.doi.org/10.1109/CDC.2017.8264387.

4. Convergent iterations for computing stationary distributions of Markov chains;Barker;SIAM Journal of Algebraic and Discrete Methods,1986

5. An iterative aggregation and disaggregation method for the steady state solution of large scale continuous systems;Biswas;Computer Physics Communications,2015

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