This paper deals with the stability analysis of a class of uncertain switched systems on nonuniform timedomains. The considered class consists of dynamical systemswhich commute between an uncertain continuous-time subsystem and an uncertain discrete-time subsystem during a certain period of time. The theory of dynamic equations on time scale is used to study the stability of these systems on no...

This paper proposes a robust optimal eco-driving control strategy considering multiple signalized intersections with uncertain traffic signal timing. A spatial vehicle velocity profile optimization formulation is developed to minimize the global fuel consumption, with driving time as one state variable. We introduce the concept of effective red-light duration (ERD), formulated as a random varia...

In the present paper we investigate a EOQ model for imperfect items under time variable linear demand. The defective items is being screened out by a 100 % screening process and then sold in a single batch by the end of the 100% screening process with a salvage price. The unsold perfect item during the cycle is sold at a different salvage price at the end of cycle. Two different types for cost ...

The aim of this paper was to design a repeated drug administration strategy reach and maintain the requested concentration in body. Conservative designs require an exact knowledge pharmacokinetic parameters, which is considered unrealistic demand. problem usually resolved using trial-and-error open-loop approach; yet, can be insufficient due parametric uncertainties as dosing may induce undesir...

Many real-world systems contain uncertainties and with time-varying delays, also, they have become larger and more complicated. Hence, a new decentralized variable structure control law is proposed for a class of uncertain large-scale system with time varying delay in the interconnection and time varying unmatched uncertainties in the state matrix. The proposed decentralized control law for the...

Arithmetic circuits have been used as tractable representations of probability distributions, either generated from models such as Bayesian networks, sum-product networks and Probability Sentential Decision Diagrams, or directly from data. An interesting question is how we can incorporate uncertain evidence, which specifies that the marginal probabilities of a variable has to undergo certain ch...

Entropy is a measure of the uncertainty associated with a variable whose value cannot be exactly predicted. Based on the notion of chance measure, a concept of uncertain random entropy is introduced and used to provide a quantitative measurement of the uncertainty associated with uncertain random variables and its properties are studied in this paper. Relative entropy is a measure of the differ...