STATE-SPACE BASED DUAL-RATE SELF-TUNING

作     者：AHMED, MS 

作者机构：[a]Department of Electrical and Computer Engineering University of Michigan Dearborn MI 48128 U.S.A. 

出 版 物：《AUTOMATICA》 (自动学)

年 卷 期：1994年第30卷第12期

页      面：1999-2007页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

主　　题：ADAPTIVE CONTROL SELF-TUNING CONTROL COMPUTER CONTROLLED SYSTEM STOCHASTIC SYSTEM ESTIMATION ALGORITHM STATE FEEDBACK 

摘      要：A state space based dual-rate self-tuning algorithm is proposed for the case where the output sampling rate is slower than the input update rate, A state space innovation model suitable for dual-rate self-tuning control is derived. The parameters of the innovation model together with the states are estimated by a recursive prediction error estimator. The control strategy has been based on a pole restriction principle. Simulation studies are presented to establish the practical usefulness of the algorithm.