Robust H∞ Filtering for Uncertain Discrete-Time Fuzzy Stochastic Systems with Sensor Nonlinearities and Time-Varying Delay by Mingang Hua, Pei Cheng, Juntao Fei, Jianyong Zhang, Junfeng Chen

“…The robust filtering problem for a class of uncertain discrete-time fuzzy stochastic systems with sensor nonlinearities and time-varying delay is investigated. …”
Get full text

Existence of a mild solution and approximate controllability for fractional random integro-differential inclusions with non-instantaneous impulses by Hasanen A. Hammad, Manuel De la Sen

Subjects: Get full text

Hammerstein system with a stochastic input of arbitrary/unknown autocorrelation: Identification of the dynamic linear subsystem by Tsair‐Chuan Lin, Kainam Thomas Wong

Subjects: Get full text

Agent-based risk analysis model for road transportation of dangerous goods by Hassan Kanj, Ajla Kulaglic, Wael Hosny Fouad Aly, Mutaz A.B. Al-Tarawneh, Khaled Safi, Sawsan Kanj, Jean-Marie Flaus

Subjects: Get full text

A New Finite-Time Bounded Control of Stochastic Itô Systems with (x,u,v)-Dependent Noise: Different Quadratic Function Approach by Zhiguo Yan, Zhongwei Lin

“…This paper addresses the finite-time bounded control problem of linear stochastic systems with state, control input, and external disturbance-dependent noise ((x,u,v)-dependent noise for short). …”
Get full text

Approximations of Numerical Method for Neutral Stochastic Functional Differential Equations with Markovian Switching by Hua Yang, Feng Jiang

“…Stochastic systems with Markovian switching have been used in a variety of application areas, including biology, epidemiology, mechanics, economics, and finance. …”
Get full text

Stability and Boundedness of Stochastic Volterra Integrodifferential Equations with Infinite Delay by Chunmei Zhang, Wenxue Li, Ke Wang

“…The main innovation here is that stochastic systems with infinite delay can retain stability and boundedness of corresponding deterministic systems under some conditions.…”
Get full text

Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems by C.W.S. To, D.M. Li

“…Two commonly adopted expressions for the largest Lyapunov exponents of linearized stochastic systems are reviewed. Their features are discussed in light of bifurcation analysis and one expression is selected for evaluating the largest Lyapunov exponent of a linearized system. …”
Get full text

Nonlinear Finite-Horizon Regulation and Tracking for Systems with Incomplete State Information Using Differential State Dependent Riccati Equation by Ahmed Khamis, D. Subbaram Naidu, Ahmed M. Kamel

“…Unlike the previous methods which deal with the linearized system, this technique provides finite-horizon estimation and control of the nonlinear stochastic systems. Further, the proposed technique is effective for a wide range of operating points. …”
Get full text

Measurement Feedback Self-Tuning Weighted Measurement Fusion Kalman Filter for Systems with Correlated Noises by Xin Wang, Shu-Li Sun

“…For the linear discrete stochastic systems with multiple sensors and unknown noise statistics, an online estimators of the noise variances and cross-covariances are designed by using measurement feedback, full-rank decomposition, and weighted least squares theory. …”
Get full text

Finite-Time Admissibility and Controller Design for T-S Fuzzy Stochastic Singular Systems with Distinct Differential Term Matrices by Liang Qiao, Zhaomin Lv

“…When differential term matrices are allowed to be distinct in fuzzy rules, such fuzzy models can describe a wide class of nonlinear stochastic systems. Using fuzzy Lyapunov function (FLF), a new and relaxed sufficient condition is proposed via strict linear matrix inequalities (LMIs). …”
Get full text

Adaptive Kalman Estimation in Target Tracking Mixed with Random One-Step Delays, Stochastic-Bias Measurements, and Missing Measurements by Sujuan Chen, Yinya Li, Guoqing Qi, Andong Sheng

“…The objective of this paper is concerned with the estimation problem for linear discrete-time stochastic systems with mixed uncertainties involving random one-step sensor delay, stochastic-bias measurements, and missing measurements. …”
Get full text

Stochastic Finite Element Simulation of Uncertain Structures Subjected to Earthquake by Subrata Chakraborty, Santi Sekhar Dey

“…The basic objective is to investigate the possibility of applying the Neumann expansion technique coupled with the Monte Carlo simulation for dynamic stochastic systems upto that extent of parameter variation after which the method is no longer gives accurate results compared to that of the direct Monte carlo simulation. …”
Get full text

Design of event-triggered state estimator with unknown input in wireless sensor networks by Cheng-han XIE, Sai-jie LU, Yun-ji LI, Li PENG

“…With the development of sensors and wireless network technology,a series of new applications based on the wireless sensor has been merged in the past decades.Too much energy consumption and over-abundant occupancy rates of bandwidth are great challenges in these new applications,thus,it is of great practical significance to study the energy saving of the data transmission among these nodes.An estimator with the corresponding event-triggered transmission scheme was investigated for a class of discrete-time stochastic systems subject to unknown input.Its features satisfied the characteristic of unbiased and minimum variance was designed and then the proposed event-triggered strategy,which decided the transfer time of the data packet,can be used to reduce the number of data transmission.Furthermore,an upper bound of system performance was derived for obtaining the parameters of event scheme in details.Finally,a numerical example was given to verify the potential and effectiveness of the proposed theoretical result.…”
Get full text

Analysis of Stochastic Predator-Prey Model with Disease in the Prey and Holling Type II Functional Response by C. Gokila, M. Sambath, K. Balachandran, Yong-Ki Ma

“…We discuss the boundedness of the dynamical system and find all feasible equilibrium solutions. For the stochastic systems, we obtain the conditions for the existence of the global unique solution, boundedness, and uniform continuity. …”
Get full text

EXPONENTIAL DICHOTOMY OF DISCRETE TIME LINEAR SYSTEMS WITH MARKOVIAN JUMPS AND INDEPENDENT RANDOM PERTURBATIONS by Viorica Mariela UNGUREANU, Carmen Iuliana BĂRBĂCIORU

“…By using the solution representations from [3], we provide two necessary and sufficient conditions for the uniform exponential dichotomy of the stochastic systems. These conditions are completely deterministic and easy to check as it is proved by the final example, which illustrates the effectiveness of the theory…”
Get full text

Stochastic Bifurcations of a Fractional-Order Vibro-Impact System Driven by Additive and Multiplicative Gaussian White Noises by Yong-Ge Yang, Ya-Hui Sun, Wei Xu

“…Firstly, we can remove the discontinuity of the original system with the help of nonsmooth transformation and obtain the equivalent stochastic system. Then, we adopt the stochastic averaging method to get the approximately analytical solutions. …”
Get full text

Using statistical traffic analysis to calculate the confidential means of information transmission by Нух Таха Насіф

“…The article considers the modeling of security problems in the Internet as stochastic systems. This allows you to find flaws in existing security systems and offer new solutions. …”
Get full text

An Improved Method for Stochastic Nonlinear System’s Identification Using Fuzzy-Type Output-Error Autoregressive Hammerstein–Wiener Model Based on Gradient Algorithm, Multi-Innovat... by Donia Ben Halima Abid, Saif Eddine Abouda, Hanane Medhaffar, Mohamed Chtourou

“…This paper proposes an innovative identification approach of nonlinear stochastic systems using Hammerstein–Wiener (HW) model with output-error autoregressive (OEA) noise. …”
Get full text

Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 by Anindya Guria, Banibrata Mukhopadhyay

“…The differentiation between chaotic and stochastic systems is often considered to quantify the nonlinear properties of an astrophysical system. …”
Get full text