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We study the application of a data‐enabled predictive control (DeePC) algorithm for position control of real‐world nano‐quadcopters. The DeePC algorithm is a finite‐horizon, optimal control method that uses input/output measurements from the system to predict future trajectories without the need for system identification or state estimation. The algorithm predicts future trajectories of the quadcopter...
In this paper, we provide a novel upper bound for the termination time of the one-dimensional asymmetric Hegselmann-Krause dynamics, when the asymmetry is one-sided. In addition to the number of agents, our upper bound depends on the ratio of asymmetry and the confidence range in the opinions of agents, and recovers the known O(n3) results of the symmetric case. Our proof technique relies on a novel...
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