摘要：AbstractDynamic supply chain control is tackled in this paper using the concept of differential flatness where we focus on operational activities and algebraic estimation techniques for the uncertain parameters. The main objective is to maintain the inventory level at a desired one according to the customer demand while synchronizing the flows within a set of physical boundaries and constraints. In addition, we consider uncertainties on delay and adaptation times and we use the new setting of the algebraic estimation techniques to adapt and update the controller when any change occurs. These two methods lead to a simple design of the control algorithm without integration of any differential equation and without a need to any model to estimate, which yield to an efficient control action. Convincing numerical simulations using a case study of a crude oil blending and distribution system demonstrate the effectiveness of the proposed approach.Copyright 2017 IFAC.
关键词：KeywordsManufacturing plant controlManufacturing automation over networksIntelligent manufacturing systems
