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1. INTRODUCCIÓN

1.1. Interés del tema

Six MSO-based ETNAC schemes were derived; the performance of all versions were evaluated and compared with existing ETC schemes for their transient and steady state performance and efficiency. A summary has been provided on the features of the proposed schemes. Each of the proposed schemes can estimate, compute the model uncertainties, save communication and computational cost by utilizing its event-triggered mechanism, and guarantee stability and good close loop performance. From the representative simulated examples, which showed 95% less sampling instants and maintained good tracking, it appears that the proposed schemes have much practical potential to be used in embedded networked systems.

ACKNOWLEDGEMENT

Thisresearch was partially supported by NASA under grants NNX15AM51A and

NNX15AN04A.

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II. EVENT-TRIGGERED NEURO-ADAPTIVE CONTROL FOR

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