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The action responses of controlled mechanisms are often multiparametric, nonlinear, and uncertain. Complex dynamics and limited uncertain information pose difficulties for action reliability analysis. This paper develops an adaptive intelligent extremum surrogate model (AIESM) method for the action reliability under random‐interval hybrid uncertainty of a chain conveyor. First, a dynamic model of...
An automatic real driving data extraction method for lane change behavior is proposed in this paper which can efficiently detect the accurate start and end timestamp of lane change behaviors from long time driving data sequence. The objective of this work is to efficiently collect lane change data samples for behavior model building or intelligent ADAS system training. The proposed machine leaning...
Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using...
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