Abstract: Data-driven remaining useful life（RUL） prognostics technique has been the research frontier of reliability and automation,with the rapid development of advanced sensing and monitoring technology.It has been widely applied in system maintenance decision-making,which improves system operation safety,reliability and economy.The most reviews about data-driven RUL prediction methods mainly focus on component-level RUL prediction,but do not pay attention to the RUL prediction technology for closedloop control system.The influence of controller and feedback control on system degradation and RUL prediction need to be considered when the data-driven method is explored to predict the RUL of closed-loop control system,which is different from component-level RUL prediction.Therefore,the development trend of data-driven RUL prediction methods for closed-loop control system and life extending control（LEC） methods is reviewed based on the predictive information.Meanwhile,the principles,characteristics and limitations are dissected about the methods based on Poisson process,Gamma process,Wiener process and hybrid model,respectively.Finally,the future research directions are discussed such as characterization of health status and construction of comprehensive health indicator,system RUL prediction with multi-degraded components,theory and verification application of LEC based on predictive information.