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Ergodic control of multidimensional diffusions, II: Adaptive control

Ergodic control of multidimensional diffusions, II: Adaptive control The self-tuning scheme for the adaptive control of a diffusion process is studied with long-run average cost criterion and maximum likelihood estimation of parameters. Asymptotic optimality under a suitable identifiability condition is established under two alternative sets of hypotheses—a Lyapunov-type stability criterion and a condition on cost which penalizes instability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Mathematics and Optimization Springer Journals

Ergodic control of multidimensional diffusions, II: Adaptive control

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References (28)

Publisher
Springer Journals
Copyright
Copyright © 1990 by Springer-Verlag New York Inc.
Subject
Mathematics; Calculus of Variations and Optimal Control; Optimization; Systems Theory, Control; Theoretical, Mathematical and Computational Physics; Mathematical Methods in Physics; Numerical and Computational Physics, Simulation
ISSN
0095-4616
eISSN
1432-0606
DOI
10.1007/BF01445163
Publisher site
See Article on Publisher Site

Abstract

The self-tuning scheme for the adaptive control of a diffusion process is studied with long-run average cost criterion and maximum likelihood estimation of parameters. Asymptotic optimality under a suitable identifiability condition is established under two alternative sets of hypotheses—a Lyapunov-type stability criterion and a condition on cost which penalizes instability.

Journal

Applied Mathematics and OptimizationSpringer Journals

Published: Mar 23, 2005

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