Results 261 to 270 of about 4,674,723 (297)

Tracking control for the helicopter with time-varying disturbance and input stochastic perturbation

, 2020
In this paper, the tracking control problem is investigated for the helicopter under time-varying disturbance, input stochastic perturbation, and unmeasurable flapping motion states. Firstly, a state observer and a disturbance observer are constructed to
Yan-Kai Li, Mou Chen, Tao Li, Hui-Jiao Wang   +3 more
semanticscholar   +1 more source

Stochastic small perturbation based simulation technique for solving isotropic elastostatics equations

Monte Carlo Methods and Applications, 2015
Abstract The paper deals with a stochastic analysis of random displacements governed by isotropic elasticity equations. The elasticity constants are assumed to be random fields with gaussian distribution. Under the assumption of small fluctuations of elasticity constants but not ignoring their distribution and correlation structure, we ...
Dmitry Kolyukhin, Karl Sabelfeld
openaire   +2 more sources

Localization in wireless sensor networks by constrained simultaneous perturbation stochastic approximation technique

2012 6th International Conference on Signal Processing and Communication Systems, 2012
Localization of sensor networks poses an immense challenge and is considered as a hot research topic in recent days. To address the accuracy on localization this paper proposes constrained simultaneous perturbation stochastic approximation (SPSA) based localization techniques for wireless sensor networks.
Mohammad Abdul Azim, Zeyar Aung, Weidong Xiao 0001, Vinod Khadkikar, Abbas Jamalipour   +4 more
openaire   +2 more sources

Razumikhin Technique and BIBO Stability of Stochastic Delay Systems with Nonlinear Perturbations

Advanced Materials Research, 2013
The problem of mean square bounded-input-bounded-output (BIBO) stability for the stochastic delay systems with nonlinear perturbations is investigated in this paper. Using the Razumikhin technique combined with comparison principle, several novel BIBO mean square stability criteria are established.
Xia Zhou, Shou Ming Zhong, Yun Fei Yao
openaire   +1 more source

Intermittent quasi-synchronization criteria of chaotic delayed neural networks with parameter mismatches and stochastic perturbation mismatches via Razumikhin-type approach

Neurocomputing, 2019
This paper concerns the quasi-synchronization problem of chaotic delayed neural networks with parameter mismatches and stochastic perturbation mismatches via intermittent control.
Kui Ding, Quan-Xin Zhu
semanticscholar   +1 more source

The development of stochastic space transformation and diagrammatic perturbation techniques in subsurface hydrology

Stochastic Hydrology and Hydraulics, 1993
The space transformation method is applied to stochastic partial differential equations whose coefficients are random functions of space and/or time. Such equations constitute an integral part of groundwater flow and solute transport. A perturbation analysis based on Feynman- diagram expansions is proposed.
Christakos, G., Miller, C. T., Oliver, D.   +2 more
openaire   +2 more sources

A stochastic perturbation finite element-least square point interpolation method for the analysis of uncertain structural-acoustics problems with random variables

Applied Acoustics, 2018
In this paper, a novel stochastic perturbation finite element-least square point interpolation method (SP-FE-LSPIM) is introduced to improve the calculation accuracy for analyzing structural-acoustics problems.
Guoqi Jiang, L. Yao, Fei Wu
semanticscholar   +1 more source

Comparisons between WHEP and Homotopy Perturbation Techniques in Solving Stochastic Cubic Oscillatory Problems

AIP Conference Proceedings, 2009
In this paper, nonlinear oscillators under cubic nonlinearity with stochastic inputs are considered. Two techniques are used to introduce approximate solutions, mainly; the Wiener‐Hermite expansion and perturbation (WHEP) technique and the homotopy perturbation method (HPM).
Amna S. Al-Jihany, George Maroulis, Theodore E. Simos   +2 more
openaire   +1 more source

Adaptive synchronization of Cohen-Grossberg neural network with mixed time-varying delays and stochastic perturbation

Applied Mathematics and Computation, 2015
In this paper, based on the LaSalle invariant principle of stochastic differential delay equations and the stochastic analysis theory as well as the adaptive feedback technique, several sufficient conditions ensuring the adaptive synchronization of Cohen-
Chao-Long Zhang, F. Deng, Yunjian Peng, Bo Zhang   +3 more
semanticscholar   +1 more source

A new approach for stochastic model updating using the hybrid perturbation-Garlekin method

Mechanical systems and signal processing, 2019
Finite element (FE) model updating is used to modify the FE model with reliable measurement data to minimize the difference between simulated responses and measurement data.
Bin Huang, Hui Chen
semanticscholar   +1 more source