{"title":"Adaptive fuzzy tracking control for constrained stochastic nonlinear systems with unknown control direction","authors":"Haoran Wang, Zhibao Song","doi":"10.1016/j.jfranklin.2025.107681","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the adaptive tracking control problem of stochastic nonlinear systems with asymmetric time-varying state constraints, input saturation and unknown control direction. Nussbaum function is adopted to handle the unknown control direction (UCD). A hyperbolic tangent function is employed to construct an auxiliary subsystem for addressing the input saturation issue, thereby transforming the original system into a new system with explicit inputs. Additionally, a fuzzy logic system is utilized to tackle the unknown nonlinear function. Combining the barrier Lyapunov function (BLF), a novel adaptive fuzzy controller is designed to ensure that all signals in the closed-loop system remain bounded, the state variables are constrained within asymmetric time-varying bounds, and the tracking error converges near the origin. Finally, the effectiveness of the proposed control scheme is verified through a simulation example.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 8","pages":"Article 107681"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-09","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/S0016003225001747","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 studies the adaptive tracking control problem of stochastic nonlinear systems with asymmetric time-varying state constraints, input saturation and unknown control direction. Nussbaum function is adopted to handle the unknown control direction (UCD). A hyperbolic tangent function is employed to construct an auxiliary subsystem for addressing the input saturation issue, thereby transforming the original system into a new system with explicit inputs. Additionally, a fuzzy logic system is utilized to tackle the unknown nonlinear function. Combining the barrier Lyapunov function (BLF), a novel adaptive fuzzy controller is designed to ensure that all signals in the closed-loop system remain bounded, the state variables are constrained within asymmetric time-varying bounds, and the tracking error converges near the origin. Finally, the effectiveness of the proposed control scheme is verified through a simulation example.
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.