Finite-time stability of a class of nonlinear cascaded systems with time-varying output constraints

被引：1
|
作者：
Zou, Fangling [1 ]
Wu, Kang [2 ]
Wu, Yuqiang [1 ]
机构：
[1] Qufu Normal Univ, Sch Engn, Rizhao, Peoples R China
[2] Jiangnan Univ, Sch Internet Things Engn, Wuxi, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2024年 / 361卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Nonholonomic systems; Input-to-state stable; Finite-time control; Output constraints; STATE-FEEDBACK STABILIZATION; ADAPTIVE TRACKING CONTROL; NEURAL-NETWORK CONTROL; ASYMPTOTIC STABILITY; NONHOLONOMIC SYSTEMS;
D O I：
10.1016/j.jfranklin.2024.107001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The finite-time stabilization problem of a class of cascaded systems with time-varying output constraints is investigated in this paper. The system consists of input-to-state stable inverse dynamics and a nonholonomic system. The technology of changing the supply rate eliminates dynamic uncertainty. A new tan-type barrier Lyapunov function is utilized to handle time- varying output constraints. Under the unified framework of constrained and unconstrained systems, combined with the addition of power integrator technology and switch control strategy, a state feedback control strategy is proposed to ensure that the state of the closed-loop system converges to zero in a finite-time and always satisfies time-varying output constraints. Finally, simulation results verify the proposed control scheme's effectiveness.
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收藏
页数：17
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