Results 21 to 30 of about 12,554 (169)
Finite-Time Synchronization of Chaotic Complex Networks with Stochastic Disturbance
This paper is concerned with the problem of finite-time synchronization in complex networks with stochastic noise perturbations. By using a novel finite-time ℒ -operator differential inequality and other inequality techniques, some novel sufficient ...
Liangliang Li, Jigui Jian
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This paper presents a predefined-time convergent robust control algorithm that allows the control designer to set the convergence time in advance, independently of initial conditions, deterministic disturbances, and stochastic noises.
Nain de la Cruz, Michael Basin
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Stochastic approximation with dependent disturbances—I
The author studies a generalization of the Robbins-Monro procedure when disturbances satisfy a law of large numbers (strong or week) and proves convergence of this stochastic approximation procedure (accordingly, almost surely or in probability). The proofs of results are based on properties of deterministic iterative procedures for seeking zeros of ...
openaire +2 more sources
Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
Stochastic disturbances are everywhere. The influence of stochastic factors on the modeling and simulation of aircraft flight dynamics should be considered.
Haiquan Li +5 more
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This paper deals with the exponential synchronization problem for reaction-diffusion neural networks with mixed time-varying delays and stochastic disturbance.
Qintao Gan, Hong Zhang, Jun Dong
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Adaptive Robust Control for a Class of Stochastic Nonlinear Uncertain Systems
This paper is concerned with the control design for a class of stochastic nonlinear systems. Three uncertainties are considered; that is, nonlinear parameter uncertainty, matched uncertainty and stochastic disturbance.
Guifang Li, Yong Tian, Ye-Hwa Chen
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A lattice grain model of hillslope evolution [PDF]
This paper describes and explores a new continuous-time stochastic cellular automaton model of hillslope evolution. The Grain Hill model provides a computational framework with which to study slope forms that arise from stochastic disturbance and rock
G. E. Tucker +2 more
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On the Stochastic Dynamics of a Social Epidemics Model
Alcohol abuse is a major social problem, which has caused a lot of damages or hidden dangers to the individual and the society. In this paper, with random factors of alcoholism considered in mortality rate of compartment populations, we formulate a ...
Xun-Yang Wang +2 more
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Community assembly processes are complex and understanding them represents a challenge in microbial ecology. Here, we used Lascaux Cave as a stable, confined environment to quantify the importance of stochastic vs deterministic processes during microbial
Zélia Bontemps +2 more
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Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays
This paper investigates the mean square exponential stability problem of a class of complex-valued neural networks with stochastic disturbance and mixed delays including both time-varying delays and continuously distributed delays.
Xiaohui Xu, Jibin Yang, Yanhai Xu
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