点击次数：

论文类型：会议论文

发表时间：2015-07-28

收录刊物：EI、CPCI-S、Scopus

卷号：2015-September

页面范围：8226-8231

关键字：adaptive control; missing measurements; system identification; self-tuning regulator

摘要：This paper is motivated by the practical control considerations that scarce measurements or missing measurements of systems are abundant in control systems like chemical process control and network-based control. An auxiliary model based recursive least squares algorithm is derived to estimate the parameters of the input-output representation with scarce measurements. Further, we present an adaptive control scheme for such a linear system with scarce measurements; the parameter estimation-based adaptive control algorithm can achieve virtually asymptotically optimal control and ensure that the closed-loop system is stable and globally convergent. A simulation example is used to demonstrate the effectiveness of the proposed control method.