Uncertain hypothesis test is a statistical tool that uses uncertainty theory to determine whether some hypotheses are correct or not based on observed data. As an application of uncertain test, this paper proposes method differential equation fits the data not. In order demonstrate method, numerical examples provided. Finally, both currency model and stochastic used US Dollar Chinese Yuan (USD–...

The prescribed-time stabilization problem for a general class of uncertain nonlinear systems with unknown input gain and appended dynamics (with unmeasured state) is addressed. Unlike the asymptotic problem, objective requires convergence state vector to origin in finite time interval that can be arbitrarily picked (i.e., “prescribed”) by control system designer irrespective system's initial co...

In this paper, a fixed-time adaptive neural control scheme is proposed to solve the prescribed tracking problem of robot manipulators in presence uncertain dynamics, and stuck-type actuator failures which are unknown time, pattern, values. Technically, combination networks used handle uncertainties system an compensation mechanism designed accommodate occurring actuators, also systematic design...

In this paper, the problem of consensus tracking uncertain multi-agent systems (MAS) with communication faults is addressed. The assumed to be undirected. A reinforced unscented Kalman filter (RUKF) employed adapt noise covariance matrices and estimate states MAS as well train neural network internal parameters by providing a set previous measurements. Chebyshev (CNN) incorporated learn plant. ...

Chance theory is a mathematical methodology for dealing with indeterminatephenomena including uncertainty and randomness.Consequently, uncertain random variable is developed to describe the phenomena which involveuncertainty and randomness.Thus, uncertain random variable is a fundamental concept in chance theory.This paper provides some practical quantities to describe uncertain random variable...