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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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页数:17
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