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This paper investigates the global robust output synchronization problem for a class of nonlinear multi-agent systems. In the considered setup, the controlled agents are heterogeneous and with both dynamic and parametric uncertainties, the controllers are incapable of exchanging their internal states with the neighbors, and the communication network among agents is defined by an uncertain simple digraph...
The use of simulation platforms for UAV (Unmanned Aerial Vehicle) can both increase the efficiency and safety for testing the control algorithms. The main contribution of this article is the development of a multi-sensor UAV simulation platform and the implementation of a multi-sensor device for realistic tests. The multi-sensor consists of one IMU (Inertial Measurement Unit), a monocular camera and...
The main purpose of this article is to build a general platform for Unmanned Aerial Vehicle (UAV) simulation especially for vision algorithms. This general simulation platform can also connect to realistic UAVs for further tests. The platform enables UAVs controlled by a variety of advanced vision algorithms to accomplish certain tasks. Unlike the previous simulation systems, which can only achieve...
Micro aerial vehicle (MAV) can be used as an efficient image acquiring tool. However, aerial video sequence has a large amount of redundant information, which will delay the scene reconstruction process and decrease the structure accuracy. Meanwhile conventional frame decimation approaches normally have time-consuming feature matching step. This paper proposes a hierarchical frame decimation approach...
This paper considers a distributed output regulation problem for a class of multi-agent systems under directed topology. The heterogeneous controlled agents are in nonlinear output-feedback form with different relative degrees, and for each controlled agent, its dynamic controller is composed of an internal model and a distributed observer. Especially, the distributed observers together form certain...
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