K. Mathiyalagan , N. Soundarya Lakshmi , Yong-Ki Ma , Xiao-Heng Chang
{"title":"Boundary control of stochastic partial differential systems with delays and Lévy noise","authors":"K. Mathiyalagan , N. Soundarya Lakshmi , Yong-Ki Ma , Xiao-Heng Chang","doi":"10.1016/j.jfranklin.2025.108055","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the backstepping-based boundary control approach for stabilizing the semi-linear parabolic reaction-diffusion stochastic delayed partial differential system (SDPDS) driven by Lévy noise. The invertible Volterra integral transformation is chosen for transforming the original system to the target system. Boundary control for SDPDS is designed by finding the solution of PDE involving the kernel function with the help of method of successive approximation. By <span><math><mrow><mo>(</mo><mi>Q</mi><mo>,</mo><mi>S</mi><mo>,</mo><mi>R</mi><mo>)</mo></mrow></math></span> dissipative theory and linear matrix inequalities (LMIs), sufficient conditions are derived for proving the decreasing nature of the Lyapunov function for the target system. The result shows the system’s asymptotical stability under Neumann boundary conditions, further the stability of the target system proves the stability of the original system with control as our transformation is invertible. Finally, the proposed results are numerically validated.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 16","pages":"Article 108055"},"PeriodicalIF":4.2000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225005472","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates the backstepping-based boundary control approach for stabilizing the semi-linear parabolic reaction-diffusion stochastic delayed partial differential system (SDPDS) driven by Lévy noise. The invertible Volterra integral transformation is chosen for transforming the original system to the target system. Boundary control for SDPDS is designed by finding the solution of PDE involving the kernel function with the help of method of successive approximation. By dissipative theory and linear matrix inequalities (LMIs), sufficient conditions are derived for proving the decreasing nature of the Lyapunov function for the target system. The result shows the system’s asymptotical stability under Neumann boundary conditions, further the stability of the target system proves the stability of the original system with control as our transformation is invertible. Finally, the proposed results are numerically validated.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.