Decentralized Dynamic Event-Triggered Output Feedback Adaptive Fixed-Time Funnel Control for Interconnection Nonlinear systems

被引：9
作者：
Sun, Haibin [1 ]
Hou, Linlin [2 ]
Wei, Yunliang [3 ]
机构：
[1] Qufu Normal Univ, Sch Engn, Rizhao 276826, Shandong, Peoples R China
[2] Qufu Normal Univ, Sch Informat Sci & Engn, Rizhao 276826, Shandong, Peoples R China
[3] Qufu Normal Univ, Sch Math Sci, Qufu 273165, Shandong, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2024年 / 35卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Nonlinear systems; Adaptive systems; Sun; Output feedback; Observers; Stability criteria; Learning systems; Decentralized control; event-triggered control (ETC); fixed-time (FxT) control; funnel control; interconnected nonlinear system (INS); neural network (NN); output feedback; TRACKING CONTROL; CONSENSUS TRACKING; DELAY SYSTEMS; STABILIZATION; DESIGN;
D O I：
10.1109/TNNLS.2022.3183290
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A decentralized dynamic event-triggered output feedback adaptive fixed-time (DDETOFAFxT) funnel controller is described for a class of interconnected nonlinear systems (INSs). A novel dynamic event-triggered mechanism is designed, which includes a triggering control input, fixed threshold, decreasing function of tracking error, and a dynamic variable. To obtain the unknown states, a decentralized linear filter is designed. By introducing a prescribed funnel and using an adding a power integrator technique and a neural network method, a DDETOFAFxT funnel controller is designed to obtain better tracking performance and effectively alleviate the computational burden. Furthermore, it is ensured that the tracking error falls into a preset performance funnel. A simulation example is presented to demonstrate the availability of the designed control scheme.
引用
收藏
页码：1364 / 1378
页数：15
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