Compound Adaptive Fuzzy Output Feedback Control for Uncertain Fractional-Order Nonlinear Systems with Fuzzy Dead-Zone Input

被引：7
作者：
Shi, Jiangteng [1 ]
Cao, Jinde [2 ]
Liu, Heng [1 ]
Zhang, Xiulan [1 ,3 ]
机构：
[1] Guangxi Minzu Univ, Guangxi Key Lab Univ Optimizat Control & Engn Calc, Ctr Appl Math Guangxi, Sch Math & Phys, Nanning 530006, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 211189, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Sch Aviat, Nanjing 210007, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2023年 / 25卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Compound adaptive fuzzy control; Fuzzy dead-zone; Serial-parallel estimation model; State observer; BACKSTEPPING CONTROL; TRACKING CONTROL; CHAOTIC SYSTEMS; SYNCHRONIZATION;
D O I：
10.1007/s40815-022-01457-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, tracking control of strict feedback fractional-order nonlinear systems with unmeasurable states and fuzzy dead-zone input is studied. A state observer and a series-parallel model are established to construct prediction errors, and then a compound adaption law that uses both instantaneous errors and prediction errors is constructed. The fuzzy dead-zone is defuzzified so that its information can be directly used in the controller design. In addition, compared with the traditional fuzzy control, under the same number of fuzzy rules, the control scheme including compound adaption law can improve the approximation accuracy of the fuzzy logic systems to a great extent while achieving the control objective. Finally, through a numerical simulation, the effectiveness of the proposed scheme is verified.
引用
收藏
页码：2439 / 2452
页数：14
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