Sentence examples for models with uncertain from inspiring English sources

Optimization models with uncertain variables as the uncertain multiobjective programming models of B. Liu are considered.

Experimental characterization of network properties, such as the density of crosslinked chains, involves the use of approximate models with uncertain parameters leading, consequently, to uncertainties in resulting properties.

Polynomial Chaos (PC) expansion is implemented for the development of stochastic metamodels capable of representing the response of numerical models with uncertain input variables.

The objective of this study is to design a robust receding-horizon observer for systems described by nonlinear models with uncertain parameters.

The method can tackle Petri Nets models with uncertain initial markings, as is the case when in a distributed architecture, two Petri Nets share some places where the tokens can pass unobservably from one net to another.

In this paper, a design approach based on the combination of robust stochastic adaptive method and mixture density network (MDN) is proposed for general nonlinear ARMAX models with uncertain parameters and with non-Gaussian random inputs.

Firstly, the feedback linearization method is employed for a modified AHV model with uncertain parameters.

This paper develops an economic order quantity (EOQ) model with uncertain data.

The proposed models generalize both Ben-Arieh's minimum cost consensus model and Gong's consensus model with uncertain opinions.

Firstly, the NCS model with random long time-delay is transformed into a discrete-time system model with uncertain parameters.

A methodology is proposed for designing robust nonlinear model predictive controllers based on a Volterra series model with uncertain coefficients.