Observer-based adaptive control for fractional-order strict-feedback nonlinear systems with state quantisation and input quantisation

被引:0
|
作者
Chen, Chen [1 ]
Wang, Haiming [2 ]
Li, Jinghao [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] GreaTest Technol Co Ltd, Shenyang, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive control; fractional-order nonlinear systems; input quantisation; state observer; state quantisation; BACKSTEPPING CONTROL; UNCERTAIN SYSTEMS;
D O I
10.1080/00207721.2024.2447348
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the adaptive control problems of fractional-order strict-feedback nonlinear systems with state quantisation and input quantisation. Both Caputo and Riemann-Liouville derivative definitions are considered. Based on these two definitions, two fractional-order state observers are constructed to smooth the discontinuous quantised states, respectively. Then, new error variables and the dynamic filters are introduced to facilitate the design of the adaptive quantised controller. It is shown that the designed controller is valid for fractional-order strict-feedback nonlinear systems under both Caputo derivative definition and Riemann-Liouville derivative definition. Finally, three examples are given to demonstrate the effectiveness of the proposed method.
引用
收藏
页数:17
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