Results 11 to 20 of about 1,235,951 (289)
Prescribed-Time Mean-Square Nonlinear Stochastic Stabilization
Abstract We solve the prescribed-time mean-square stabilization problem, providing the first feedback solution to a stochastic null-controllability problem for strict-feedback nonlinear systems with stochastic disturbances. Our non-scaling backstepping design scheme’s key novel design ingredient is that, rather than employing “blowing up” time ...
Wuquan Li, Miroslav Krstic
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A Mean Square Stability Test for Markovian Jump Linear Systems
This paper proposes a test for the mean square stability problem for discrete-time linear systems subject to random jumps in the parameters, described by an underlying finite-state Markov chain.
C. Nespoli, J.B.R. do Val
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Mean square exponential stability of stochastic delay cellular neural networks
By constructing suitable Lyapunov functionals and combining with matrix inequality technique, a new simple sufficient condition is presented for the exponential stability of stochastic cellular neural networks with discrete delays. The condition contains
Yingxin Guo
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Mean-square stability and convergence of compensated split-step θ-method for nonlinear jump diffusion systems [PDF]
In this paper, the existence and uniqueness of the numerical solution of the Stochastic Differential Equations with Jumps(SDEwJs) under the one side Lipschitz conditions and polynomial growth conditions are presented.
Ali Soheili +2 more
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In this paper, quantitative mean square exponential stability and stabilization of Itô-type linear stochastic Markovian jump systems with Brownian and Poisson noises are investigated.
Gaizhen Chang +4 more
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Almost sure exponential stabilisation of stochastic systems by state-feedback control [PDF]
So far, a major part of the literature on the stabilisation issues of stochastic systems has been dedicated to mean square stability. This paper develops a new class of criteria for designing a controller to stabilise a stochastic system almost surely ...
Hu, Liangjian, Mao, Xuerong
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A Novel Family of Adaptive Filtering Algorithms Based on The Logarithmic Cost [PDF]
We introduce a novel family of adaptive filtering algorithms based on a relative logarithmic cost. The new family intrinsically combines the higher and lower order measures of the error into a single continuous update based on the error amount.
Kozat, Suleyman S. +2 more
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In this paper, the mean-square strong stability and stabilization of discrete-time Markov jump systems are studied. Firstly, the definition of mean-square strong stability is given, and the necessary and sufficient conditions for mean-square strong ...
Zhiguo Yan, Fangxu Su
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Stability of numerical method for semi-linear stochastic pantograph differential equations
As a particular expression of stochastic delay differential equations, stochastic pantograph differential equations have been widely used in nonlinear dynamics, quantum mechanics, and electrodynamics.
Yu Zhang, Longsuo Li
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Exponential stability of delayed recurrent neural networks with Markovian jumping parameters [PDF]
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2006 Elsevier Ltd.In this Letter, the global exponential stability analysis problem is considered for a class of recurrent ...
Bolle +21 more
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