Observer‐based adaptive fuzzy hierarchical sliding mode control of uncertain under‐actuated switched nonlinear systems with input quantization. (11th July 2022)

• Record Type: Journal Article
• Authors: Zhang, Haoyan; Zhao, Xudong; Zhang, Liang; Niu, Ben; Zong, Guangdeng; Xu, Ning
• Is Part Of: International journal of robust and nonlinear control. Volume 32:Number 14(2022)
• Page Start: 8163
• Page End: 8185
• Publication Date: 2022-07-11
• Subjects: fuzzy logic systems -- hierarchical sliding mode control -- input quantization -- Switched systems; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.6269
• Languages: English
• ISSNs: 1049-8923

Abstract

Abstract: In this article, an observer‐based adaptive fuzzy hierarchical sliding mode control (HSMC) scheme is put forward for uncertain under‐actuated switched nonlinear systems in the presence of quantized input signals. The issues of quantized input signals from a hysteretic quantizer, external disturbances, unmeasured system states and completely unknown nonlinear functions are taken into account for the under‐actuated system. First, the chattering phenomena can be effectively avoided by adopting the considered hysteretic quantizer. Then, fuzzy logic systems (FLSs) is utilized to approximate the unknown smooth nonlinear functions representing the system uncertainties. Furthermore, a switched fuzzy state observer is established to estimate the unmeasured system states. Based on the Lyapunov stability theory, the proposed control scheme can ensure the boundedness of all signals in the closed‐loop system and make the system output track given reference signals well. Finally, a numerical simulation example is given to verify the effectiveness of the proposed control scheme.