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Indexed by:会议论文

Date of Publication:2015-07-28

Included Journals:EI、CPCI-S、Scopus

Volume:2015-September

Page Number:8226-8231

Key Words:adaptive control; missing measurements; system identification; self-tuning regulator

Abstract: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.