Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition
Joint Authors
Jin, Shangtai
Hou, Zhongsheng
Chi, Ronghu
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A new periodic recursive least-squares (PRLS) estimator is developed with data-weighting factors for a class of linear time-varying parametric systems where the uncertain parameters are periodic with a known periodicity.
The periodical time-varying parameter can be regarded as a constant in the time interval of a periodicity.
Then the proposed PRLS estimates the unknown time-varying parameter from period to period in batches.
By using equivalent feedback principle, the feedback control law is constructed for the adaptive control.
Another distinct feature of the proposed PRLS-based adaptive control is that the controller design and analysis are done via Lyapunov technology without any linear growth conditions imposed on the nonlinearities of the control plant.
Simulation results further confirm the effectiveness of the presented approach.
American Psychological Association (APA)
Chi, Ronghu& Hou, Zhongsheng& Jin, Shangtai. 2014. Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-453225
Modern Language Association (MLA)
Chi, Ronghu…[et al.]. Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition. Journal of Applied Mathematics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-453225
American Medical Association (AMA)
Chi, Ronghu& Hou, Zhongsheng& Jin, Shangtai. Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-453225
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453225