In this paper, Ag-Au alloy nanoparticles (NPs) were fabricated by dewetting process to enhance the broadband antireflection performance of textured silicon surfaces. The alloy NPs presented a large range of shapes and sizes, which provided an average reflectance (AR) below 4% over the spectral range of 300~1200 nm, a decrease of ~50% and ~90% as compared to the corresponding monometallic NPs and the original flat Si surfaces, respectively. The superior broadband antireflection demonstrated by the alloy NPs are attributed to the enhanced light trapping by alloy nanoparticle plasmon resonance.
This paper proposes an algorithm of leader-following consensus control of multiple fixed-wing unmanned aerial vehicles'(UAVs) attitudes with time delays and unknown external disturbances. Firstly, a distributed controller based on undirected graph for leader-following consensus control of multi-UAVs' attitudes is proposed. Then, the effects of time delays are compensated with the help of Lyapunov-Krasovskii function, Cauchy and Young's inequality. Secondly, RBF neural network is introduced to estimate and reduce the negative effects of external disturbances. Finally, the effectiveness of the proposed distributed controller is demonstrated by Lyapunov theory and simulations. INDEX TERMS Leader-following consensus, multi-UAVs, time delays, unknown external disturbances, RBF neural network.
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