Considering that almost all existing solutions of fusing different reconstructed results require experts’opinions and the issue of how to fuse probabilistic results and mixed results has not been discussed.Two soluti...Considering that almost all existing solutions of fusing different reconstructed results require experts’opinions and the issue of how to fuse probabilistic results and mixed results has not been discussed.Two solutions are proposed.The first is based on the Monte Carlo Method(FMCM),while the second is based on the Sub-Interval Technique(FSIT).The method based on FMCM generates sample points according to the distribution of each uncertain result firstly,and then gives out the cumulative distribution function of the final fused result by statistical analysis.The method based on FSIT gets the result fusion interval set according to lower and upper bounds of all interval results and a given length d of each sub-interval firstly,and then calculate the weighted matrix of the result fusion interval.As a result,the cumulative distribution function of the final fused result can also be given out by statistical analysis.Finally,three real accidents are given to demonstrate the methods of FMCM and FSIT,the results of which show that both work well in practice.展开更多
The dynamics of the high-speed vehicle（HSV） is partially or completely unknown because of various reasons, such as modeling errors, in-flight failure, and external disturbances. In this paper, a global stability rob...The dynamics of the high-speed vehicle（HSV） is partially or completely unknown because of various reasons, such as modeling errors, in-flight failure, and external disturbances. In this paper, a global stability robust fuzzy controller is designed to control the flight F-16 with uncertain perturbation. For the desired H_∞ output-feedback controllers, a necessary and sufficient condition of quadratic stability is derived with the well-established results of the Lyapunov stability theory and nonnegative matrix. The controllers not only guarantee the global asymptotically stability of the resultant closed-loop system with external disturbance and parameter perturbation, but also have a desired H∞ performance in a large flight envelop（LFE）.展开更多
基金This work was supported by the National Natural Science Foundation of China[grant number 51775056]the Natural Science Foundation of Hunan Province[grant number 2018JJ3544]the Hunan Provincial Innovation Foundation for Postgraduate[grant number CX2018B550].
文摘Considering that almost all existing solutions of fusing different reconstructed results require experts’opinions and the issue of how to fuse probabilistic results and mixed results has not been discussed.Two solutions are proposed.The first is based on the Monte Carlo Method(FMCM),while the second is based on the Sub-Interval Technique(FSIT).The method based on FMCM generates sample points according to the distribution of each uncertain result firstly,and then gives out the cumulative distribution function of the final fused result by statistical analysis.The method based on FSIT gets the result fusion interval set according to lower and upper bounds of all interval results and a given length d of each sub-interval firstly,and then calculate the weighted matrix of the result fusion interval.As a result,the cumulative distribution function of the final fused result can also be given out by statistical analysis.Finally,three real accidents are given to demonstrate the methods of FMCM and FSIT,the results of which show that both work well in practice.
基金supported by the Shanghai Aerospace Science and Technology Innovation Fund under Grant No.SAST2015085
文摘The dynamics of the high-speed vehicle（HSV） is partially or completely unknown because of various reasons, such as modeling errors, in-flight failure, and external disturbances. In this paper, a global stability robust fuzzy controller is designed to control the flight F-16 with uncertain perturbation. For the desired H_∞ output-feedback controllers, a necessary and sufficient condition of quadratic stability is derived with the well-established results of the Lyapunov stability theory and nonnegative matrix. The controllers not only guarantee the global asymptotically stability of the resultant closed-loop system with external disturbance and parameter perturbation, but also have a desired H∞ performance in a large flight envelop（LFE）.
