Stabilization of Semi-Markovian Jumping Uncertain Complex-Valued Networks with Time-Varying Delay: A Sliding-Mode Control Approach

被引:11
|
作者
Li, Qiang [1 ]
Wei, Hanqing [1 ]
Hua, Dingli [2 ]
Wang, Jinling [1 ]
Yang, Junxian [1 ]
机构
[1] Anhui Agr Univ, Sch Informat & Artificial Intelligence, Hefei 230036, Peoples R China
[2] Jiangxi Univ Finance & Econ, Sch Informat Management, Nanchang 330013, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex-valued networks; Stabilization; Semi-Markovian jumping; Sojourn-time; Sliding-mode control; OUTPUT-FEEDBACK; LINEAR-SYSTEMS; STOCHASTIC STABILITY; STATE ESTIMATION; SWITCHING CVNNS; NEURAL-NETWORKS; DISCRETE-TIME; SYNCHRONIZATION;
D O I
10.1007/s11063-024-11585-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper pays close attention to the stabilization issue for delayed uncertain semi-Markovian jumping complex-valued networks via sliding mode control. The concerned corresponding transition rates depend on a positive constant, i.e., sojourn-time, which is not required to obey the general exponential distribution. Combine the generalized Dynkin's formula with Lyapunov stability theory as well as the characteristics of cumulative distribution functions, a few sufficient criteria are proposed to ascertain the stochastic stability of the obtained sliding mode dynamical system. In addition, design a novel sliding mode controller to ensure all state trajectories of the potential closed-loop system can reach the synthesized sliding mode switching surface in a finite time and maintain there in the subsequent time. In the end of paper, one simple example is presented to verify superiority and feasibility of the provided controller design scheme.
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页数:22
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