Multiple Model-Based Control Using Finite Controlled Markov Chains

Author:

Ikonen Enso,Najim Kaddour

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference33 articles.

1. Berthiaux H, Mizonov V. Applications of Markov chains in particulate process engineering: a review. Can J Chem Eng. 2004;82:1143–68.

2. Bertsekas DP. Dynamic programming and optimal control. Belmont, Massachusetts: Athena Scientific; 2007.

3. Chen H, Kremling A, Allgöwer F. Nonlinear predictive control of a benchmark CSTR. In: Proceedings of the 3rd european control conference, Rome, Italy; 1995. p. 3247–58.

4. Filev D. Model bank based intelligent control. In Proceedings of the NAFIPS, New Orleans, USA; 2002. p. 583–6.

5. Ghahramani Z, Jordan MI. Learning From Incomplete Data. Lab Memo No. 1509, Center for Biological and Computational learning, Department of Brain and Cognitive Sciences, Paper No. 108, MIT Artificial Intelligence Laboratory; 1994.

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