Abstract | ||
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This is an overview paper on the relationship between risk-averse designs based on exponential loss functions with or without an additional unknown (adversarial) term and some classes of stochastic games. In particular, the paper discusses the equivalences between risk-averse controller and filter designs and saddle-point solutions of some corresponding risk-neutral stochastic differential games with different information structures for the players. One of the by-products of these analyses is that risk-averse controllers and filters (or estimators) for control and signal-measurement models are robust, through stochastic dissipation inequalities, to unmodeled perturbations in controlled system dynamics as well as signal and the measurement processes. The paper also discusses equivalences between risk-sensitive stochastic zero-sum differential games and some corresponding risk-neutral three-player stochastic zero-sum differential games, as well as robustness issues in stochastic nonzero-sum differential games with finite and infinite populations of players, with the latter belonging to the domain of mean-field games. |
Year | DOI | Venue |
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2021 | 10.1007/s11424-021-1242-6 | JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY |
Keywords | DocType | Volume |
Mean-field games, risk-sensitive control, risk-sensitive filtering, risk-sensitive games, risk sensitivity, robustness | Journal | 34 |
Issue | ISSN | Citations |
5 | 1009-6124 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
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Tamer Basar | 1 | 3497 | 402.11 |