文献类型：期刊文献

英文题名：Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation

作者：Zhu, Yuanming[1];Hou, Zhongsheng[2];Qian, Feng[1];Du, Wenli[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Beijing Jiaotong Univ, Adv Control Syst Lab, Sch Elect & Informat Engn, Beijing 100044, Peoples R China

年份：2017

卷号：28

期号：3

起止页码：759

外文期刊名：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

收录：;EI(收录号：20160902031258);WOS:【SCI-EXPANDED(收录号:WOS:000395980500024)】；

基金：This work was supported in part by the Shanghai Sailing Program under Grant 15YF1402700, in part by the Shu Guang Project of Shanghai Municipal Education Commission and Shanghai Education Development Foundation, in part by the Fundamental Research Funds for Central Universities under Grant 22A20151405, in part by the China Post-Doctoral Science Foundation under Grant 2015M571507, and in part by the National Natural Science Foundation of China under Grant 61433002, Grant 61120106009, and Grant 61503138. (Corresponding author: Feng Qian.)

语种：英文

外文关键词：Aspen HYSYS; controller dynamic linearization; data-driven control (DDC); model-free adaptive control (MFAC); radial basis function

摘要：In this brief, we propose a new data-driven model-free adaptive control (MFAC) method with dual radial basis function neural networks (RBFNNs) for a class of discrete-time nonlinear systems. The main novelty lies in that it provides a systematic design method for controller structure by the direct usage of I/O data, rather than using the first-principle model or offline identified plant model. The controller structure is determined by equivalent-dynamic-linearization representation of the ideal nonlinear controller, and the controller parameters are tuned by the pseudogradient information extracted from the I/O data of the plant, which can deal with the unknown nonlinear system. The stability of the closed-loop control system and the stability of the training process for RBFNNs are guaranteed by rigorous theoretical analysis. Meanwhile, the effectiveness and the applicability of the proposed method are further demonstrated by the numerical example and Aspen HYSYS simulation of distillation column in crude styrene produce process.