This work reviews the state of the art in the area of adaptive iterative learning control(AILC)targeting at different problems,in which some possible future research directions are also presented.First of all,we present a brief overview on the analysis tool and design frameworks of AILC.Then,the latest developments in AILC field are discussed from both the aspects of system structure characteristics and operation characteristics,including the issues on non-parametric uncertainties,input nonlinearities/uncertainties,constrained systems,unmeasurable states,non-repeatable factors,etc.For each type of these issues,the characteristics on design and analysis of the controller are presented in details.Furthermore,the design principles of data-driven AILC are discussed.Finally,we summarize some open and challenging issues in AILC,which need to be further explored and investigated.
关键词
迭代学习控制/自适应迭代学习控制/数据驱动/非线性系统/复合能量函数
Key words
iterative learning control/adaptive iterative learning control/data-driven/nonlinear systems/composite energy function
维普
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