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Stochastic Processes

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Passivity analysis of neural networks with two different Markovian jumping parameters and mixed time delays.

ISA transactions
This paper studies the problem of passivity analysis for neural networks with two different Markovian jumping parameters and mixed time delays utilizing some integral inequalities. The integral inequalities produce sharper bounds than what the Jensen...

Adaptive Neural Tracking Control for Switched High-Order Stochastic Nonlinear Systems.

IEEE transactions on cybernetics
This paper deals with adaptive neural tracking control design for a class of switched high-order stochastic nonlinear systems with unknown uncertainties and arbitrary deterministic switching. The considered issues are: 1) completely unknown uncertain...

A two-stage fuzzy chance-constrained water management model.

Environmental science and pollution research international
In this study, an inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method is developed and applied to the water resources management in the Heshui River Basin, Jiangxi Province, China. The optimization model is established by ...

Forecasting stochastic neural network based on financial empirical mode decomposition.

Neural networks : the official journal of the International Neural Network Society
In an attempt to improve the forecasting accuracy of stock price fluctuations, a new one-step-ahead model is developed in this paper which combines empirical mode decomposition (EMD) with stochastic time strength neural network (STNN). The EMD is a p...

Aging, frailty and complex networks.

Biogerontology
When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from va...

Equivalent Neural Network Optimal Coefficients Using Forgetting Factor with Sliding Modes.

Computational intelligence and neuroscience
The Artificial Neural Network (ANN) concept is familiar in methods whose task is, for example, the identification or approximation of the outputs of complex systems difficult to model. In general, the objective is to determine online the adequate par...

Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique.

IEEE transactions on cybernetics
Most existing control results for pure-feedback stochastic systems are limited to a condition that tracking errors are bounded in probability. Departing from such bounded results, this paper proposes an asymptotic fuzzy neural network control for pur...

Gesteme-free context-aware adaptation of robot behavior in human-robot cooperation.

Artificial intelligence in medicine
BACKGROUND: Cooperative robotics is receiving greater acceptance because the typical advantages provided by manipulators are combined with an intuitive usage. In particular, hands-on robotics may benefit from the adaptation of the assistant behavior ...

Reachable Set Estimation for Markovian Jump Neural Networks With Time-Varying Delays.

IEEE transactions on cybernetics
In this paper, the reachable set estimation problem is investigated for Markovian jump neural networks (NNs) with time-varying delays and bounded peak disturbances. Our goal is to find a set as small as possible which bounds all the state trajectorie...

Decentralized event-triggered synchronization of uncertain Markovian jumping neutral-type neural networks with mixed delays.

Neural networks : the official journal of the International Neural Network Society
In this study, we present an approach for the decentralized event-triggered synchronization of Markovian jumping neutral-type neural networks with mixed delays. We present a method for designing decentralized event-triggered synchronization, which on...