Improved generalized \(H_2\) filtering for static neural networks with time-varying delay via free-matrix-based integral inequality

DOI10.1155/2018/5147565zbMath1427.93066OpenAlexW2787781553MaRDI QIDQ1721032

Min Wu, Hui-Jun Yu, Yong He

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/5147565

Mathematics Subject Classification ID

(H^infty)-control (93B36) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Observability (93B07)

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Event-triggered stability analysis of semi-Markovian jump networked control system with actuator faults and time-varying delay via Bessel-Legendre inequalities ⋮ New stability criteria for event-triggered nonlinear networked control system with time delay

Cites Work

• Stability analysis of systems with time-varying delay via relaxed integral inequalities
• Improved \(H _{\infty }\) filtering for systems with a time-varying delay
• Improved delay-range-dependent stability criteria for linear systems with time-varying delays
• Delay-dependent stability analysis of neural networks with time-varying delay: a generalized free-weighting-matrix approach
• New filter design for static neural networks with mixed time-varying delays
• Improved results on guaranteed generalized \(\mathcal H_2\) performance state estimation for delayed static neural networks
• Stability analysis of time-delay systems via free-matrix-based double integral inequality
• Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay
• Delay-Dependent $H_{\infty}$ and Generalized $H_{2}$ Filtering for Delayed Neural Networks

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