Results 211 to 220 of about 28,272 (248)
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Exponential input-to-state stability of delay Korteweg–de Vries–Burgers equations
Communications in Nonlinear Science and Numerical Simulation, 2023In the paper there is considered the delayed Korteweg-de Vries-Burgers equation and an associated controlled initial boundary value problem \[ \displaylines{ \displaystyle{z_t = \varepsilon z_{xx} - \delta z_{xxx} + \xi z(x,t-\tau(t))-zz_x + v(x,t)\;,\;0\leq x\leq 1}\cr \displaystyle{z(x,t)=\varphi(x,t)\;,\;-\tau\leq t\leq 0}\cr \displaystyle{z(0,t)=z ...
Deqiong Ding, Kai-Ning Wu
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Exponential input-to-state stability of stochastic delay reaction–diffusion neural networks
Neurocomputing, 2020Abstract This paper considers the mean square exponential input-to-state stability (EISS) for stochastic delay reaction–diffusion neural networks (SDRDNNS). SDRDNNS with distributed input and boundary input are investigated. In addition, constant delay and time-varying delay are considered.
Liu Xiaozhen, Kai-Ning Wu
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Mean-square exponential input-to-state stability of stochastic delayed neural networks
Neurocomputing, 2014In this paper, we focus on the stability problem for a class of stochastic delayed recurrent neural networks. Different from the traditional stability criteria, we introduce and study a new stability criterion: the mean-square exponential input-to-state stability.
Shenghong Li, Jinde Cao
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Exponential input-to-state stability of quaternion-valued neural networks with time delay
Applied Mathematics and Computation, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haibo Bao, Jinde Cao
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Exponential input-to-state stability of reaction-diffusion systems
2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2019Exponential input-to-state stability (ISS) is an interesting topic and has been paid much attention for the finite-dimensional system. The criterion of exponential ISS for reaction-diffusion systems (RDSs), an infinite dimensional system, is investigated in this paper. Both cases of RDSs with distributed input and boundary input are considered.
Kai-Ning Wu
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Neurocomputing, 2016
This paper is concerned with the input-to-state stability problem of a class of neutral stochastic neural networks. The stochastic neural networks that we consider contain both neutral terms and mixed delays. By utilizing the Lyapunov-Krasovskii functional method, stochastic analysis techniques and It o ^ 's formula, some sufficient conditions are ...
Wen Sun, Yinfang Song
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This paper is concerned with the input-to-state stability problem of a class of neutral stochastic neural networks. The stochastic neural networks that we consider contain both neutral terms and mixed delays. By utilizing the Lyapunov-Krasovskii functional method, stochastic analysis techniques and It o ^ 's formula, some sufficient conditions are ...
Wen Sun, Yinfang Song
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Nonlinear Analysis: Hybrid Systems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kai-Ning Wu, Xin-Xin Han
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kai-Ning Wu, Xin-Xin Han
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Stabilization to Exponential Input-to-State Stability via Aperiodic Intermittent Control
IEEE Transactions on Automatic Control, 2021This article studies the stabilization to exponential input-to-state stability (ISS) via aperiodic intermittent control (APIC) for continuous-time systems. The stabilization is formulated as a problem of minimum activation time rate (MATR) of nontrivial APIC.
Bin Liu 0003 +3 more
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Exponential input‐to‐state stabilization of semilinear systems via intermittent control
International Journal of Robust and Nonlinear Control, 2022AbstractThis paper is concerned with the exponential input‐to‐state stabilization of semilinear systems via aperiodically intermittent control and aperiodically intermittent sampled‐data control, respectively. The aperiodically intermittent control is characterized from the average sense.
Ying Guo +3 more
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Input-to-State Stability and exponential stability for time-delay systems: further results
2007 46th IEEE Conference on Decision and Control, 2007The main contribution of this paper is to establish a link between the exponential stability of an unforced system and the input-to-state stability (ISS) via the Liapunov-Krasovskii methodology. It is proved that a system which is (globally, locally) exponentially stable in the unforced case is (globally, locally) input-to-state stable when it is ...
Nima Yeganefar +2 more
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