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RELIABILITY ANALYSIS OF THE UNCERTAIN FRACTIONAL-ORDER DYNAMIC SYSTEM WITH STATE CONSTRAINT
  • Ting Jin,
  • Hongxuan Xia,
  • Shangce Gao
Ting Jin
Nanjing Forestry University

Corresponding Author:candy830722@163.com

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Hongxuan Xia
Nanjing Forestry University
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Shangce Gao
University of Toyama
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Abstract

Uncertain fractional-order differential equations driven by Liu process are of significance to depict the heredity and memory features of uncertain dynamical systems. This paper primarily investigates the reliability analysis of the uncertain fractional-order dynamic system with a state constraint. On the basis of the first-hitting time (FHT), a novel uncertain fractional-order dynamic system considering a state constraint is proposed. Secondly, in view of the relation between the initial state and the required standard, such uncertain fractional-order dynamic systems are subdivided into four types. The concept of reliability of proposed uncertain system with a state constraint is presented innovatively. Corresponding reliability indexes are ulteriorly formulated via FHT theorems. Lastly, the uncertain fractional-order dynamic system with a state constraint is applied to different physical and financial dynamical models. The analytic expression of the reliability index is derived to demonstrate the reasonableness of our model. Meanwhile, expected time response and American barrier option prices are calculated by using the predictor-corrector scheme. A sensitivity analysis is also illustrated with respect to various conditions.
04 Apr 2021Submitted to Mathematical Methods in the Applied Sciences
05 Apr 2021Submission Checks Completed
05 Apr 2021Assigned to Editor
18 Apr 2021Reviewer(s) Assigned
07 May 2021Review(s) Completed, Editorial Evaluation Pending
15 May 2021Editorial Decision: Revise Major
01 Aug 20211st Revision Received
01 Aug 2021Submission Checks Completed
01 Aug 2021Assigned to Editor
01 Oct 2021Reviewer(s) Assigned
02 Oct 2021Review(s) Completed, Editorial Evaluation Pending
04 Oct 2021Editorial Decision: Accept
09 Dec 2021Published in Mathematical Methods in the Applied Sciences. 10.1002/mma.7943