DocumentCode :
3346642
Title :
Extension of second level adaptation using multiple models to SISO systems
Author :
Narendra, Kumpati S. ; Yu Wang ; Wei Chen
Author_Institution :
Center for Syst. Sci., Yale Univ., New Haven, CT, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
171
Lastpage :
176
Abstract :
Second level adaptation using multiple models for the adaptive control of linear systems with unknown parameters was introduced in [1], and its robustness properties were discussed in [2]. In both cases, the plant, the identification models, and the reference model were assumed to be described by state equations in companion form, with all state variables accessible.
Keywords :
adaptive control; identification; linear systems; SISO systems; adaptive control; identification models; linear systems; multiple models; reference model; robustness properties; second level adaptation; state equations; state variables; unknown parameters; Adaptation models; Adaptive control; Computational modeling; Convergence; Mathematical model; Robustness; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7170730
Filename :
7170730
Link To Document :
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