A class of mean-risk decisions for noncooperative games and distributed controls

The paper gives a comprehensive presentation of the broad and still developing area of risk-averse decision making in the stochastic linear-quadratic class of multiperson noncooperative differential games and/or distributed controls. The fundamental set of design principles is developed for self-directed decision makers, who are imitatively cautious and privately capable of incorporating summary performance-measure statistics into their distributed output-feedback Nash decision policies for competitive interactions and engagements.