We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
This paper studies the problem of multi-agent planning in the environment where agents may need to cooperate in order to achieve their individual goals but they do so only if the c...
Wei Huang, Dongmo Zhang, Yan Zhang, Laurent Perrus...
This paper proposes a method for the stabilization of vehicle formations in the plane under a fixed, but not necessarily complete, sensing graph. In this method each agent acts to ...
We present a direct adaptive controller for discrete-time (and thus sampled-data) systems that are possibly nonminimum phase. The adaptive control algorithm requires limited model ...
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...