Unmanned aerial vehicles (UAV's) have received an increasing amount of attention in recent literature. Investigations and developments over the past years have been focused mostly in military applications. Nowadays, it is possible to build lightweight and tiny UAVs, with excellent capacities to develop and deploy civilian applications in benefit of the citizenship and society. Motivated by recent advances in intelligent systems, cooperative control and studies on large groups of unmanned autonomous vehicles or UAVs, this project identifies some problems and key points in order to create a decentralized mission planner for controlling an heterogeneous group of UAVs. Based on this gathered experience, technological and scientific research focused on the use and exploitation of multi-agent systems for mission planning and control of a UAVs network is presented. In the first sections, the problem statement is settled. After reviewing multi-agent systems, the main environmental model is defined and a reduced version addressed for system identification is fixed. Next, the MAS concept is used for the mission planning task. Some results are provided from this approach. Finally, conclusions and recommendations for further research are presented. This project has been done in collaboration with the Aerospace Research Technology Centre (CTAE) which investing research effort in UAVs and their applications.