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Decentralised model predictive control with stability constraints and its application in process control

机译:具有稳定性约束的分散模型预测控制及其在过程控制中的应用

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摘要

This paper presents a novel decentralised model predictive control for a plant consisting of interconnected systems. A constructive technique for online stabilisation that is applicable to the model predictive controllers (MPC) is developed. The plant-wise stability is achievable by the newly introduced asymptotically positive realness constraint (APRC) for MPC. Simulations are provided to demonstrate the efficiency of the presented APRC. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一种由相互连接的系统组成的工厂的新型分散模型预测控制。开发了一种适用于模型预测控制器(MPC)的在线稳定技术。通过新引入的MPC渐近正实性约束(APRC),可以实现工厂级稳定性。提供仿真以演示所提出的APRC的效率。 (C)2015 Elsevier Ltd.保留所有权利。

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