A Risk-Averse Game-Theoretic Approach to Distributed Control

Authors

• Khanh D. Pham, Space Vehicles Directorate, Air Force Research Laboratory
• Meir Pachter, Air Force Institute of Technology

Document Type

Conference Proceeding

Publication Date

1-1-2013

Abstract

The research article gives a comprehensive presentation of the broad and still developing area of risk-averse decision-making approach to control of distributed stochastic systems.

Comments

© 2013 Springer Science+Business Media New York

The full conference paper is available via subscription or purchase, using the DOI link below.

DOI

10.1007/978-1-4614-7582-8_4

Source Publication

Dynamics of Information Systems: Algorithmic Approaches

Recommended Citation

Pham, K.D., Pachter, M. (2013). A Risk-Averse Game-Theoretic Approach to Distributed Control. In: Sorokin, A., Pardalos, P. (eds) Dynamics of Information Systems: Algorithmic Approaches. Springer Proceedings in Mathematics & Statistics, vol 51. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7582-8_4