A multiple objectives optimization approach to robotic teams' analysis, design and control

An optimization approach to distributed intelligent system design and control is presented. It is expected to enhance the autonomous decision-making capabilities of subsystems. It is applicable to autonomous multiple agents homogeneous or heterogeneous clusters, when they must collaborate to achieve a common goal, acting in a coordinated manner that will provide situation awareness, collision avoidance and operations in complex environment and degraded communications or sensors failures.