Results 21 to 30 of about 243,636 (166)
A generalization of Input-to-State Stability
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012 Input-to-State Stability (ISS) and its many derivatives have proved to be extremely useful in the analysis and design of robustly stable nonlinear systems. In this paper, we present a generalization of ISS that subsumes several ISS-type properties and discuss cases where this generalization may fail.
Christopher M. Kellett, Peter M. Dower
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IEEE Access, 2021 In this article, input-to-state stability (ISS) and stabilization are examined for sampled-data systems under deterministic aperiodic sampling and random sampling, respectively.
Ping Zhao, Ben Niu, Wei Feng, Zhiguo Yan
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Stability of limit regimes in general reaction-diffusion type systems
Науковий вісник Ужгородського університету. Серія: Математика і інформатика, 2022 In this paper, we consider the stability of limit regimes for a general class of nonlinear distributed mathematical models named Reaction-Diffusion models. RD systems naturally arise in many applications.
О. В. Капустян +1 more
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A graph-theoretic approach to global input-to-state stability for coupled control systems
Advances in Difference Equations, 2017 In this paper, the input-to-state stability for coupled control systems is investigated. A systematic method of constructing a global Lyapunov function for the coupled control systems is provided by combining graph theory and the Lyapunov method ...
Yu Qiao, Yue Huang, Minghao Chen
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Mean-square exponential input-to-state stability of stochastic inertial neural networks
Advances in Difference Equations, 2021 By introducing some parameters perturbed by white noises, we propose a class of stochastic inertial neural networks in random environments. Constructing two Lyapunov–Krasovskii functionals, we establish the mean-square exponential input-to-state ...
Wentao Wang, Wei Chen
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IEEE Access, 2023 This paper proposes a gradient-descent-based learning (GL) gain for backstepping controller and disturbance observer (DOB) of nonlinear system. The proposed method consists of the GL gain update law, controller, and DOB.
Sesun You +3 more
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Criteria for Input-to-State Practical Stability [PDF]
IEEE Transactions on Automatic Control, 2019 For a broad class of infinite-dimensional systems, we characterize input-to-state practical stability (ISpS) using the uniform limit property and in terms of input-to-state stability. We specialize our results to the systems with Lipschitz continuous flows and evolution equations in Banach spaces.
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Input-to-State Stability of Fractional Order Recurrent Neural Networks with Delays
Nantong Daxue xuebao. Ziran kexue ban, 2020 This paper discusses the input-to-state stability of delayed fractional-order recurrent neural networks. In order to ensure that the proposed system is input-to-state stable, the feedback controllers are designed.
XU Guoxiong;BAO Haibo
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Comparison principles and input-to-state stability for stochastic impulsive systems with delays
Systems Science & Control Engineering, 2021 In this paper, the input-to-state stability (ISS), the pth moment exponential ISS and the stochastic input-to-state stability issues are investigated for the stochastic impulsive systems with time delays via the comparison principle method.
Shuang Liang, Jinling Liang
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Dynamic stability analysis of grid-connected DFIG-WECS considering wind speed fluctuations
Zhejiang dianliTo investigate the dynamic stability of doubly-fed induction generator-based wind energy conversion systems （DFIG-WECS） when connected into weak AC grids， this study proposes a novel dynamic stability assessment index.
LI Dongdong +6 more
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