Self-triggered adaptive prescribed-time tracking control for stochastic nonlinear systems

被引:3
|
作者
Zhu, Yuting [1 ]
Pan, Yingnan [2 ,5 ]
Lu, Qing [3 ]
Li, Xiaomeng [4 ]
机构
[1] Bohai Univ, Coll Math Sci, Jinzhou, Peoples R China
[2] Bohai Univ, Coll Control Sci & Engn, Jinzhou, Peoples R China
[3] Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing, Peoples R China
[4] Guangdong Univ Technol, Sch Automat, Guangzhou, Peoples R China
[5] Bohai Univ, Coll Control Sci & Engn, Jinzhou 121013, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive tracking control; prescribed-time control; self-triggered control; stochastic nonlinear systems; MULTIAGENT SYSTEMS; PREDICTIVE CONTROL; LINEAR-SYSTEMS; MPC;
D O I
10.1002/acs.3553
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 proposes a self-triggered (ST) adaptive prescribed-time tracking control method for a class of stochastic nonlinear systems. Different from the existing results, an improved ST mechanism is proposed by adding a judgment condition to reduce the negative effect of excessive design interval on system performance. Based on the one-to-one mapping and backstepping technique, an adaptive prescribed-time tracking control method is proposed, which can make the error converge to the predefined precision set within the predetermined time. Simultaneously, applying the Lyapunov stability method, the boundedness of all signals in the closed-loop system can be ensured. Finally, a detailed simulation example is provided to show the effectiveness of the proposed control strategy.
引用
收藏
页码:934 / 950
页数:17
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