A Chebyshev interval method for nonlinear dynamic systems under uncertainty
By Jinglai Wu, Yunqing Zhang, Liping Chen, Zhen Luo. 2013
305 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/51006cfcc7b279d168a843125e9a055ca933f92d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Control and Systems Engineering
In Statistics and Probability
Citations in the corpus
- Incremental modeling of a new high-order polynomial surrogate model (2016, background): “For Review Click here to view linked References 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 2”
- A new interval uncertain optimization method for structures using Chebyshev surrogate models (2015, methodology): “A detailed comparison between the Taylor expansion and the Chebyshev expansion can be found in [33,34], which demonstrated the advantages of the Chebyshev method, including in the dynamics problems.”