Error-based adaptive optimal tracking control of nonlinear discrete-time systems

作     者：Chun LI Jinliang DING Frank L.LEWIS Tianyou CHAI 

作者机构：State Key Laboratory of Synthetical Automation for Process IndustriesNortheastern University UTA Research InstituteThe University of Texas at Arlington 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2024年第67卷第1期

页      面：154-167页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：supported by National Key R&D Plan Project (Grant No.2022YFB3304700) National Natural Science Foundation of China (Grant Nos.61988101,62161160338) 111 Project 2.0 (Grant No.B08015) Liaoning Province Central Leading Local Science and Technology Development Special Project (Grant No.2022JH6/100100055) 

主　　题：adaptive dynamic programming iterative criteria performance index tracking errors tracking problem 

摘      要：In this paper,for the output tracking problem of nonlinear discrete-time systems,a performance index is newly defined using the adaptive dynamic programming(ADP) technique to completely eliminate tracking errors in *** contrast to traditional definitions of performance indices in other ADP-based methods,the proposed performance index is not only designed from the perspective of output tracking errors but also introduced errors of system states and control inputs at adjacent stages,which is suitable for practical situations in many industrial applications,such as the alumina production,the flotation process,and the mineral grinding *** proved that the obtained controller can make the system output fully track the given reference trajectory by applying the iterative criteria of the ADP *** addition,the proposed algorithm was implemented using a data-driven technique and neural networks to avoid analyzing and deducing the complicated dynamics of actual industrial ***,using historical data for a forced-circulation evaporation system in the alumina production process,the effect of the proposed approach was verified through a numerical simulation and compared with that of the proportional-integral controller.