Fuzzy observer-based sampled-data control for a class of pure-feedback nonlinear systems. Issue 14 (September 2018)

• Record Type: Journal Article
• Authors: Liu, Wenhui; Chen, Ziran; Xie, Fei; Li, Ping
• Is Part Of: Journal of the Franklin Institute. Volume 355:Issue 14(2018)
• Page Start: 6416
• Page End: 6434
• Publication Date: 2018-09
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2018.06.033
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: This paper aims at the sampled-data control problem for a class of pure-feedback nonlinear systems. A fuzzy state observer is constructed to evaluate the unavailable states. In this process, fuzzy logic systems are applied to approximate the uncertain nonlinear functions. Based on the new designed state observer, a sampled-data control scheme for the pure-feedback nonlinear systems is proposed. The designed sampled-data controller ensures the boundedness of the nonlinear systems. Finally, two numerical examples are used to demonstrate that the proposed method is efficient.