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Sector Bound-Dependent Matrix-Separation-Based Inequality and its Application to Stability Analysis of Discrete-Time Delayed Genetic Regulatory Networks
- Xie, Ke-You;
- Zhang, Chuan-Ke;
- Lee, Sangmoon;
- Liu, Yajuan;
- Zhai, Chao
Citations
WEB OF SCIENCE
4Citations
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6초록
In this brief, a class of sector bound-dependent matrix-separation-based inequality is proposed that can utilize the properties of nonlinear functions to overcome the weaknesses of existing estimation methods. Then, an expanded class of Lyapunov-Krasovskii functional is constructed to include some integral terms of the sector constraint of nonlinear functions. By applying the improved inequality, the stability criterion of genetic regulatory networks (GRNs) with stochastic perturbations and time-varying delay is established. The validity of presented criterion and the advancement of proposed method are analysed based on two examples.
키워드
Linear matrix inequalities; Stability criteria; Estimation; Delays; Symmetric matrices; Numerical stability; Circuit stability; Sector bound-dependent summation inequality; genetic regulatory networks; time-varying delay; stability; NEURAL-NETWORKS; CRITERIA; SYSTEMS
- 제목
- Sector Bound-Dependent Matrix-Separation-Based Inequality and its Application to Stability Analysis of Discrete-Time Delayed Genetic Regulatory Networks
- 저자
- Xie, Ke-You; Zhang, Chuan-Ke; Lee, Sangmoon; Liu, Yajuan; Zhai, Chao
- 발행일
- 2024-08
- 유형
- Article
- 권
- 71
- 호
- 8
- 페이지
- 3785 ~ 3789
- 언어
- ENG
- 출판사
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행국가
- 미국
- 분량
- 5 페이지
- ISSN
- E 1558-3791
P 1549-7747