Unmanned Aerial Vehicles (UAVs) are important tool for various applications, including enhancing target detection accuracy in surface-to-air and air-to-air missions. To ensure mission success of these UAVs, a robust control system is needed, which further requires well-characterized dynamic model. This paper aims to present consolidated framework the estimation an experimental UAV utilizing fli...

The new generation of bicycle-sharing is an O2O (online-to-offline) platform service that enables the users to access bicycle with a smartphone App. This paper proposes dynamic repositioning model predicted demand, where time interval fixed. A data-driven Neural Network (NN) approach introduced forecast demand. objective function at each defined simultaneously minimize operator cost and penalty...

This work presents DMPC (Data-and Model-Driven Predictive Control) to solve control problems in which some of the constraints or parts objective function are known, while others entirely unknown controller. It is assumed that there an exogenous “black box” system, e.g. a machine learning technique, predicts value functions for given trajectory. (1) provides approach merge both model-based and b...

EDMA-2017, the first International Workshop on Engineering Data- & Model-driven Applications, was held in conjunction with 10th IEEE Conference Cyber, Physical and Social Computing (IEEE CPSCom-2017). EDMA-2017 provided authors a forum for presentations, discussions sharing of current challenges, knowledge, expertise solutions regarding trends technologies use data computational models dealing ...