National Natural Science Foundation of China; Natural Science Foundation of Hunan Province; Foundation of Hunan Education Department; [51905257]; [U20B2028]; [2020JJ6075]; [21C0427]; [21B0406]
机构署名：
本校为其他机构
院系归属：
机械工程学院
摘要：
A surrogate model based active interval densifying method is proposed to solve the uncertain nonlinear inverse problem providing an efficient tool for the unknown inputs identifications by using limited information of un-certain outputs. The active interval is first defined to determine the key input interval whose bounds would strongly influence the upper and lower bounds of the outputs, and then an active vertex densifying strategy is proposed by combining the active interval and vertex method to further reduce the number of densifying samples. A novel iterative mechanism is developed to seq...
