Georgios P. Kladis

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Kalman filter relies heavily on perfect knowledge of sensor readings, used to compute the minimum mean square error estimate of the system state. However in reality, unavailability of output data might occur due to factors including sensor faults and failures, confined memory spaces of buffer registers and congestion of communication channels. Therefore(More)
— This paper focuses on a systematic analysis for the tracking problem in swarm-based missions for Unmanned Aerial Vehicles (UAVs) with linear and angular velocity constraints. In this paper the nonlinear model of the dynamics are represented by Takagi-Sugeno (TS) fuzzy models. A distributed control law is introduced which is composed of both node and(More)
In the included work the Unmanned Aerial Vehicle (UAV) mission is represented by energy graphs motivated by the analysis in [1]. The problem of the shortest path routing is revisited when a dynamically changing environment is considered. It is assumed that information about the map is received while on flight due to events. In addition, UAVs are required,(More)
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