Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Adaptive dynamic programming (ADP) has been tested as an effective method for optimal control of nonlinear system.
However, as the structure of ADP requires control input to satisfy the initial admissible control condition, the control performance may be deteriorated due to abrupt parameter change or system failure.
In this paper, we introduce the multiple models idea into ADP, multiple subcontrollers run in parallel to supply multiple initial conditions for different environments, and a switching index is set up to decide the appropriate initial conditions for current system.
By taking this strategy, the proposed multiple model ADP achieves optimal control for system with jumping parameters.
The convergence of multiple model adaptive control based on ADP is proved and the simulation shows that the proposed method can improve the transient response of system effectively.
American Psychological Association (APA)
Wang, Kang& Li, Xiao-Li& Li, Yang. 2016. Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming. Discrete Dynamics in Nature and Society،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1103509
Modern Language Association (MLA)
Wang, Kang…[et al.]. Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming. Discrete Dynamics in Nature and Society No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1103509
American Medical Association (AMA)
Wang, Kang& Li, Xiao-Li& Li, Yang. Multiple Model Adaptive Tracking Control Based on Adaptive Dynamic Programming. Discrete Dynamics in Nature and Society. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1103509
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1103509