Robust design of a multirotor aerial vehicle

Abstract

This paper introduces the methodology of systematic robust design of a multirotor vehicle as an example of how to carry out the robust design of a physical system. Robustness in aerial vehicles is highly desirable as it guarantees a desired level of performance even under environmental uncertainties. Thus far, robustness has been considered in terms of active control in the space of multirotor vehicles, but exploration of the design space itself is lacking. In this work, a conceptual design followed by a robust design is performed to come up with the specifications that lead to least uncertain performance of the multirotor vehicle with respect to stochastic wind disturbances.

Computational systems biology in disease modeling and control, review and perspectives

“…The accuracy of the approximated model depends on the user-defined sampling rate in finite difference. A robust dynamic model design makes it less sensitive to biological noise and disturbances, allowing us to track abnormal variations 21 , 134 . An example of the robust design of a physical system can be found in 134 .…”

“…A robust dynamic model design makes it less sensitive to biological noise and disturbances, allowing us to track abnormal variations 21 , 134 . An example of the robust design of a physical system can be found in 134 . Modeling noise is usually assumed to be Gaussian.…”

“…Precision medicine requires the patient-specific parameters for individual variability, resulting in a more complicated model. Note that a robust model design 134 is desired after adding new parameters.…”