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This Paper deals with the design of closed loop strategies for a class oftwo players zero-sum linear quadratic differential games, where eachplayer does not know the state equation. For this game model, anextremum seeking control is proposed that is based on the concept ofcombining neural network and author's self-adaptive sliding modecontroller. A numerical example illustrates an application of the proposedtechnique, and the simulations results showed a dominant solution incomparison with the Nash solution of reference and an optimal regulator.
- The Housei University economic review
The Housei University economic review 78(4), 321-339, 2011-03-00