Abstract
Game theory is the study of decision problems in which there are multiple decision makers and the quality of a decision maker's choice depends on both that choice and the choices of others. While game theory has been studied predominantly as a modeling paradigm in the mathematical social sciences, there is a strong connection to control systems in that a controller can be viewed as a decision-making entity. Accordingly, game theory is relevant in settings with multiple interacting controllers. This article presents an introduction to game theory, followed by a sampling of results in three specific control theory topics where game theory has played a significant role: (a) zero-sum games, in which the two competing players are a controller and an adversarial environment; (b) team games, in which several controllers pursue a common goal but have access to different information; and (c) distributed control, in which both a game and online adaptive rules are designed to enable distributed interacting subsystems to achieve a collective objective.
Original language | English (US) |
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Pages (from-to) | 105-134 |
Number of pages | 30 |
Journal | Annual Review of Control, Robotics, and Autonomous Systems |
Volume | 1 |
DOIs | |
State | Published - May 28 2018 |
Externally published | Yes |
Keywords
- Distributed control
- Game theory
- Learning in games
- Mechanism design
- Team games
- Zero-sum games
ASJC Scopus subject areas
- Artificial Intelligence
- Engineering (miscellaneous)
- Human-Computer Interaction
- Control and Systems Engineering