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Data-based intelligent modeling and control for nonlinear systems

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摘要 With the ever increasing complexity of industrial systems,model-based control has encountered difficulties and is facing problems,while the interest in data-based control has been booming.This paper gives an overview of data-based control,which divides it into two subfields,intelligent modeling and direct controller design.In the two subfields,some important methods concerning data-based control are intensively investigated.Within the framework of data-based modeling,main modeling technologies and control strategies are discussed,and then fundamental concepts and various algorithms are presented for the design of a data-based controller.Finally,some remaining challenges are suggested.
机构地区 School of Automation
出处 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2011年第2期291-299,共9页 中国电气与电子工程前沿(英文版)
基金 This work was supported by the National Natural Science Foundation of China(Grant Nos.60874013,60953001 and 61034002).
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