Command Filter-Based Predefined-Time Adaptive Fuzzy Control for High-Order Nonlinear Interconnected Systems With Input Quantization

作     者：Zhao, Lin Sui, Shuai Liu, Tengfei Chen, Chun-Lung Philip 

作者机构：Liaoning Univ Technol Coll Sci Jinzhou 121001 Peoples R China Northeastern Univ State Key Lab Synthet Automation Proc Ind Shenyang 110004 Peoples R China South China Univ Technol Sch Comp Sci & Engn Guangzhou 510641 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON FUZZY SYSTEMS》 (IEEE Trans Fuzzy Syst)

年 卷 期：2025年第33卷第4期

页      面：1298-1310页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China [62176111, 62333004, 62403226] Excellent Young Scientists Fund Program (Overseas) Xingliao Talent Plan for young top talents [XLYC2203188] The 2024 Fundamental Research Funding of the Educational Department of Liaoning Province [LJZZ222410154001, LJZZ222410154006] The 2023 Education Department Basic Research Project (Youth Project) [JYTQN2023225] 

主　　题：Interconnected systems Quantization (signal) Backstepping Nonlinear systems Control systems Adaptive systems Vectors Lyapunov methods Trajectory Stability criteria Fuzzy logic system high-order interconnected systems input quantization predefined-time control predefined-time filter 

摘      要：This article focuses on studying an adaptive fuzzy predefined-time tracking control problem for uncertain high-order nonlinear interconnected systems with input quantization. The considered plants contain unknown nonlinear functions, quantized input signals, and external disturbances. Fuzzy logic systems (FLSs) are employed to estimate the unknown nonlinear functions, and by using its structural properties, the difficulty of designing the state variable functions is simplified. By employing adaptive backstepping recursive technique combined with power-based Lyapunov functions, the predefined-time control strategy is presented. Notably, a novel predefined-time filter is used to avoid repeated differentiation of virtual control functions. By applying predefined-time Lyapunov stability theory, the stability analysis demonstrates that all signals in the closed-loop systems remain bounded and the tracking error converges within a predefined settling time. Ultimately, a simulation example is provided to illustrate the validity of the proposed control strategy.