Recursive algorithms for identification in closed loop: A unified approach and evaluation

作     者：Landau, ID Karimi, A 

作者机构：Lab. d'Automatique de Grenoble ENSIEG 38402 Saint Martin d'Hères BP 46 France 

出 版 物：《AUTOMATICA》 (自动学)

年 卷 期：1997年第33卷第8期

页      面：1499-1523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] 

基　　金：Ministry of Culture and Higher Education 

主　　题：identification algorithms closed-loop identification validation robustness stability convergence 

摘      要：A unified presentation of recursive algorithms for plant model identification in closed loop is given. From the basic formulation of the problem of finding the plant model that gives the best predictor for the closed-loop system, two families of algorithms using either a reparameterized predictor for the closed loop or a plant predictor operating on filtered data are presented, and their asymptotic properties are examined. Validation tests for the models identified in closed loop are proposed. A comparative evaluation of the various algorithms in simulation and on real-time experiments concludes the paper. (C) 1997 Elsevier Science Ltd.