This paper presents an approach for solving optimal control problems of switched systems. In general, in such problems one needs to nd both optimal continuous inputs and optimal switching sequences, since the system dynamics vary before and after every switching instant. After formulating the optimal control problem, we propose a two stage optimization methodology for it. Since many practical p...

The stochastic location-inventory network design model with risk pooling considers the distribution network design problem in which all the retailers face uncertain demand. The riskpooling benefits can be achieved by allowing some of the retailers to operate as distribution centers (DCs) for other retailers to commit a given service level. The target is to minimize the expected total cost of DC...

This article introduces a framework for including different uncertainties at the chemical plant design stage. Through an integrated robust optimization approach and problem formulation, equipment, operating, control, and quality costs are simultaneously taken into account, leading to system, parameter, and tolerance design. Rather than using single pointwise solutions in the decision space, ope...

Waterflooding is one of the methods used for increased hydrocarbon production. optimization can be computationally prohibitive if reservoir model or problem complex. Hence, proxy modeling yield a faster solution than numerical simulation. This fast provides insights to better formulate field development plans. Due technological advancements, machine learning increasingly contributes designing a...

A method of optimal intermediate voltage tracking (OIVT) is proposed in this paper to improve efficiency for the cascade boost converter. The can be adjusted by regulating duty cycle front stage and rear converters. To control speed algorithm, range determined calculating overall system loss. In addition, with input-output relationship maintained, root-mean-square (rms) current capacitor reduce...