Kevin M. Passino

TL;DR: This article seeks to introduce an adaptive fuzzy or neural control approach which is guaranteed to operate properly under less restrictive assumptions and for more general continuous-time nonlinear systems.

TL;DR: This paper model a human group as a dynamical system whose behavior is driven by a task optimization process and the interaction between subsystems that represent the members of the group interconnected according to a given communication network, and shows that the dynamics characterized by the proposed mathematical model are qualitatively consistent with real-human groups.

TL;DR: The authors formulate an optimal controller synthesis problem, i.e. how to construct a controller to achieve optimal allowable DES behavior, and utilizes results from the theory of heuristic search to help overcome problems with computational complexity often encountered with logical DES models.

TL;DR: It is proved that if several such algorithms compete in the same problem domain, the strategy they use is a special type of evolutionarily stable strategy, and that the allocation strategy is globally optimal.