Results 31 to 40 of about 177,002 (308)
Nonlinearly Activated IEZNN Model for Solving Time-Varying Sylvester Equation
IEEE Access, 2022 Zeroing neural network (ZNN) is an effective method to calculate time-varying problems. However, the ZNN and its extensions separately addressed the robustness and the convergence.
Yihui Lei +6 more
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Parareal Convergence for Oscillatory PDEs with Finite Time-Scale Separation [PDF]
SIAM Journal on Scientific Computing, 2019 A variant of the Parareal method for highly oscillatory systems of PDEs was proposed by Haut and Wingate (2014). In that work they proved superlinear conver- gence of the method in the limit of infinite time scale separation. Their coarse solver features a coordinate transformation and a fast-wave averag- ing method inspired by analysis of multiple ...
Adam Peddle, Terry Haut, Beth A. Wingate
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Energies, 2021 To solve the problems of frequency and voltage deviation caused by the droop control while meeting the requirements of rapid response, a distributed finite-time secondary control scheme is presented.
Junjie Ma +3 more
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On The Convergence of Euler Discretization of Finite-Time Convergent Gradient Flows
, 2020 In this study, we investigate the performance of two novel first-order optimization algorithms, namely the rescaled-gradient flow (RGF) and the signed-gradient flow (SGF). These algorithms are derived from the forward Euler discretization of finite-time convergent flows, comprised of non-Lipschitz dynamical systems, which locally converge to the minima
Zhang, Siqi +2 more
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A robust finite-time convergent hybrid observer for linear systems [PDF]
52nd IEEE Conference on Decision and Control, 2013 Motivated by the design of observers with good performance and robustness to measurement noise, the problem of estimating the state of a linear time-invariant system in finite time and with robustness to a class of measurement noise is considered. Using a hybrid systems framework, a hybrid observer producing an estimate that converges to the plant ...
Yuchun Li, Ricardo G. Sanfelice
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Finitely-valued Terminal Zeroing Neural Networks with Application to Robotic Motion Planning [PDF]
Jisuanji kexueTo solve the problem of time-varying quadratic programming with equality constraints,this paper proposes a finitely-valued terminal zeroing neural network achieving the finite-time convergence of computing errors while being easy to implement.The ...
WANG Liming, ZHONG Guomin, SUN Mingxuan, HE Xiongxiong
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Finite element approximation of a nonlinear cross-diffusion population model [PDF]
, 2003 We consider a fully discrete finite element approximation of the nonlinear cross-diffusion population model: Find u i, the population of the ith species, i = 1 and 2, such that ∂ui ∂t −Δ [ ci ui + ai u2i + ui uj] − bi ∇.
John W. Barrett +6 more
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IEEE Access, 2023 Most existing solutions that guarantee finite-time convergence of a constrained first-order sliding mode either assume that the structure of the perturbation is known apriori, or the perturbation and its derivative are bounded by unknown constants ...
Jishnu Keshavan +2 more
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Variational Time Integrators in Computational Solid Mechanics [PDF]
, 2003 This thesis develops the theory and implementation of variational integrators for computational solid mechanics problems, and to some extent, for fluid mechanics problems as well.
Lew, Adrián José
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Single-Bit Consensus With Finite-Time Convergence: Theory and Applications [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2020 In this brief paper, a new consensus protocol based on the sign of innovations is proposed. Based on this protocol each agent only requires single-bit of information about its relative state to its neighboring agents. This is significant in real-time applications, since it requires less computation and/or communication load on agents.
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