In addition, the Bernoulli random variable has been used in the concept of randomly occurring which has various types such as randomly occurring delay, randomly occurring uncertainties, randomly occurring nonlinearities, and so on [13 15].
After a brief delay, randomly selected from between 500 to 1000 ms duration, a white filled circle (fixation point, 8 cd/m2) was presented 8 degrees left of the center of the screen positioned on the ruler – a white horizontal line running across the screen with seven vertical bars positioned at −20, −10, −5, 0, +10 +10, and +20 degrees relative to the center white dot.
If it is (Eligibility), then it will go in sleeping; otherwise (Ineligibility), it will be delayed randomly for nodes deployment.
This paper is concerned with the problem of event-triggered distributed state estimation for a class of discrete nonlinear stochastic systems with time-varying delays, randomly occurring uncertainties and randomly occurring nonlinearities.
This paper is concerned with the H∞ state estimation problem for a class of discrete-time neural networks with time-varying delays, randomly occurring quantizations (ROQs) as well as missing measurements.
The purpose of the addressed problem is to design a full-order filter such that, in the simultaneous presence of distributed delays, randomly occurring nonlinearities, sensor saturation and missing measurements, the filtering dynamic system is guaranteed to be exponentially mean-square stable, and the H∞ filtering performance index is achieved.
To test the system under a severe multipath channel environment, we assume that the channel profile has L independent frequency selective Rayleigh fading paths with equal power and time delays randomly chosen from [0, (G - 1 Ts], where Ts is the sampling time and the CP length is G = (NPK /4.
In addition, in [43, 44], the authors studied dissipativity analysis of neural networks with time-varying delay and randomly occurring uncertainties.
In this paper, the design problem of state estimator for genetic regulatory networks with time delays and randomly occurring uncertainties has been addressed by a delay decomposition approach.
One user is intentionally delayed by half a symbol and in addition, small delays, taken randomly from the interval, are introduced to each user.
In this paper, new delay-dependent synchronization criteria for the discrete-time CDNs with interval time-varying delays and randomly changing coupling strength are proposed.
