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• W2990452958 abstract "A novel distributed control scheme, called one-step predictive finite memory control (OPFMC), is proposed for multiple unmanned aerial vehicles (UAVs). The OPFMC is constructed through a controller gain obtained from a distributed system considering multiple UAVs. Furthermore, the OPFMC is developed with the estimated states acquired through a gain that minimizes a newly introduced cost function: Frobenius norm, and from two consecutive processes with differently defined stacked measurements by introducing a weight parameter in the horizon bank that represents a finite memory structure. Since unexpected disturbance or unknown noise is compensated by the weight parameter, OPFMC shows robustness in the presence of unexpected disturbances or unknown noise. The robust performance and fast convergence of the proposed control scheme under disturbance or noise is demonstrated through experimental results." @default.
• W2990452958 created "2019-12-05" @default.
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• W2990452958 date "2019-10-01" @default.
• W2990452958 modified "2023-09-25" @default.
• W2990452958 title "Distributed Control for Multiple Unmanned Aerial Vehicles with One-step Predictive Finite Memory Control" @default.
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• W2990452958 doi "https://doi.org/10.1109/smc.2019.8914197" @default.
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