Results 221 to 230 of about 28,272 (248)
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Automatica, 2021
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Han-Wen Zhang, Jun-Min Wang, Jian-Jun Gu
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Han-Wen Zhang, Jun-Min Wang, Jian-Jun Gu
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Exponential input-to-state stability for hybrid dynamical networks via impulsive interconnection
49th IEEE Conference on Decision and Control (CDC), 2010This paper investigates the problem of exponential input-to-state stability (e-ISS) for hybrid dynamical networks (HDN) via impulsive interconnection. New concepts of input-to-state exponent property (IS-E) and augmented time are proposed for dynamical systems and hybrid systems respectively.
Bin Liu 0003 +2 more
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Exponential input-to-state stability of stochastic neural networks with mixed delays
International Journal of Machine Learning and Cybernetics, 2016This paper is concerned with the exponential input-to-state stability for a class of stochastic neural networks with mixed delays. Based on a new Lyapunov-Krasovskii functional, Ito’s formula, Dynkin’s formula and some inequality techniques, some novel sufficient conditions ensuring the exponential input-to-state stability in the mean square for the ...
Yan-Jun Shu +3 more
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Global exponential input-to-state stability analysis of nonlinear systems with mixed time delays
Communications in Nonlinear Science and Numerical SimulationChunyan Liu
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Nonlinear Analysis: Hybrid Systems, 2023
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Sun, Wenjun, Li, Xiaodi
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Sun, Wenjun, Li, Xiaodi
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Exponentially weighted input-to-state stability for discrete switched system
2010 8th World Congress on Intelligent Control and Automation, 2010Stability analysis of nonlinear systems with disturbance inputs is an important problem in control theory and engineering. Input-to-state stability (ISS) is a novel concept that has been introduced into nonlinear control systems recently. Based on Razumikhim technique and average dwell-time switching signals, ISS properties for discrete switched ...
null Fenglan Sun +2 more
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Mean-square exponential input-to-state stabilization of a stochastic PDE system
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2020We study the mean-square exponential input-to-state stabilization (exp-ISS) of a Korteweg-de Vries-Burgers (KdVB) equation with Brownian motion. All point measurements are quantized via a logarithmic quantizer. We design a controller for the stochastic control system by adopting Lyapunov direct method. We derive sufficient conditions in terms of linear
Xiao-Nan Wang, Wen Kang
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Systems & Control Letters, 1999
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Quasi-exponential input-to-state stability for discrete-time impulsive hybrid systems
International Journal of Control, 2007This paper investigates the problem of input-to-state stability (ISS) for the general discrete-time impulsive hybrid systems. Quasi-exponential input-to-state stability criteria are established for non-linear discrete-time impulsive hybrid systems, based on the Lyapunov function.
Bin Liu 0003, Horacio J. Marquez
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Exponential input-to-state stability of stochastic Cohen–Grossberg neural networks with mixed delays
Nonlinear Dynamics, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, Quanxin +2 more
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