Input-to-State Stability and H ∞ Performance for Stochastic Control Systems with Piece wise Constant Arguments

DOI10.1007/978-3-319-30379-6_34zbMath1355.93211OpenAlexW2489872167MaRDI QIDQ2958792

Mohamad S. Alwan, Xinzhi Liu

Publication date: 3 February 2017

Published in: Mathematical and Computational Approaches in Advancing Modern Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-30379-6_34

Mathematics Subject Classification ID

Stabilization of systems by feedback (93D15) (H^infty)-control (93B36) Optimal stochastic control (93E20)

Cites Work

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• Comparison principle and stability of differential equations with piecewise constant arguments
• Second-order linear differential equations with piecewise constant arguments subject to nonlocal boundary conditions
• \(H_{\infty}\) control of a class of discrete-time Markov jump linear systems with piecewise-constant TPs subject to average dwell time switching
• Stochastic stability analysis of piecewise homogeneous Markovian jump neural networks with mixed time-delays
• On characterizations of the input-to-state stability property
• Lyapunov-Razumikhin method for differential equations with piecewise constant argument
• Comments on integral variants of ISS
• Numerical approximation of the solutions of delay differential equations on an infinite interval using piecewise constant arguments
• Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type
• On numerical approximation using differential equations with piecewise-constant arguments
• New characterizations of input-to-state stability
• Smooth stabilization implies coprime factorization
• A unified framework for input-to-state stability in systems with two time scales

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