In this work, a discrete event supply chain is modeled from the point of view of one of the members. The model takes into account uncertainty and determines an optimal ordering policy so that profit is maximized and financial risk is controlled. Two cases are considered. In one case, the behavior of the other members of the chain is known and the demand is uncertain while in the other case the ...

Beauty and the Bulls: The Investment Characteristics of Paintings . . . . . . . . . . 2 T h e rate of increase in fine paintings prices was large when compared with many other investments during the 1970s and was extraordinarily large from 1977 to 1980. One prominent explanation for the behavior of fine painting prices over this period is the ability of this asset to hedge against uncertain inf...

In this paper, exponential anti-synchronization in mean square of an uncertain memristor-based neural network is studied. The uncertain terms include non-modeled dynamics with boundary and stochastic perturbations. Based on the differential inclusions theory, linear matrix inequalities, Gronwall’s inequality and adaptive control technique, an adaptive controller with update laws is developed to...

Uncertainty is a pervasive in real world environment due to vagueness, is associated with the difficulty of making sharp distinctions and ambiguity, is associated with situations in which the choices among several precise alternatives cannot be perfectly resolved. Analysis of large collections of uncertain data is a primary task in the real world applications, because data is incomplete, inaccu...

Abstract: The robust stabilization of uncertain linear time-varying continuous-time systems with a mode-switch dynamics is considered. Each mode is characterized by a dynamical matrix containing elements whose time behavior over bounded time intervals is sufficiently smooth to be well described by interval polynomials of arbitrary degree. The stability conditions of the switching closed-loop sy...

The uncertain nonlinear systems can bemodeled with fuzzy equations by incorporating the fuzzy set theory. In this paper, the fuzzy equations are applied as the models for the uncertain nonlinear systems. The nonlinear modeling process is to find the coefficients of the fuzzy equations.We use the neural networks to approximate the coefficients of the fuzzy equations.The approximation theory for ...

The goal of robotics research is to design a robot to fulfill a variety of tasks in the real world. Inherent in the real world is a high degree of uncertainty about the robot’s behavior and about the world. We introduce a robot task architecture, DTRC, that generates plans with actions that incorporate costs and uncertain effects, and states that yield rewards. The use of a decision-theoretic p...

OBJECTIVE To investigate factors that predict walking with a prosthesis after lower limb amputation. DESIGN Systematic literature review. METHODS A computer-aided literature search of MEDLINE, EMBASE, CINAHL and the Cochrane Library was performed to identify studies published up to August 2007 that investigated factors that predicted walking ability after lower limb amputation. RESULTS A ...