{"title":"Economic Nonlinear Model Predictive Control","authors":"T. Faulwasser, L. Grüne, M. Müller","doi":"10.1561/2600000014","DOIUrl":null,"url":null,"abstract":"In recent years, Economic Model Predictive Control (empc) has received considerable attention of many research groups. The present tutorial survey summarizes state-of-the-art approaches in empc. In this context empc is to be understood as receding-horizon optimal control with a stage cost that does not simply penalize the distance to a desired equilibrium but encodes more sophisticated economic objectives. This survey provides a comprehensive overview of empc stability results: with and without terminal constraints, with and without dissipativtiy assumptions, with averaged constraints, formulations with multiple objectives and generalized terminal constraints as well as Lyapunov-based approaches. Moreover, we compare different performance criteria for some of the considered approaches and comment on the connections to recent research on dissipativity of optimal control problems. We consider a discrete-time setting and point towards continuous-time variants. We illustrate the different empc schemes with several examples.","PeriodicalId":306000,"journal":{"name":"Found. Trends Syst. Control.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"122","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Found. Trends Syst. Control.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1561/2600000014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 122
Abstract
In recent years, Economic Model Predictive Control (empc) has received considerable attention of many research groups. The present tutorial survey summarizes state-of-the-art approaches in empc. In this context empc is to be understood as receding-horizon optimal control with a stage cost that does not simply penalize the distance to a desired equilibrium but encodes more sophisticated economic objectives. This survey provides a comprehensive overview of empc stability results: with and without terminal constraints, with and without dissipativtiy assumptions, with averaged constraints, formulations with multiple objectives and generalized terminal constraints as well as Lyapunov-based approaches. Moreover, we compare different performance criteria for some of the considered approaches and comment on the connections to recent research on dissipativity of optimal control problems. We consider a discrete-time setting and point towards continuous-time variants. We illustrate the different empc schemes with several examples.
近年来,经济模型预测控制(Economic Model Predictive Control, empc)受到了许多研究团体的广泛关注。本教程概述了empc的最新方法。在这种情况下,empc应被理解为具有阶段成本的后退视界最优控制,该阶段成本不只是惩罚到理想均衡的距离,而是编码更复杂的经济目标。本调查提供了empc稳定性结果的全面概述:有和没有终端约束,有和没有耗散假设,平均约束,具有多目标和广义终端约束的公式以及基于lyapunov的方法。此外,我们比较了一些考虑的方法的不同性能标准,并评论了与最优控制问题耗散率的最新研究的联系。我们考虑一个离散时间设置,并指向连续时间变量。我们用几个例子来说明不同的empc方案。