Adaptive MIMO Supervisory Control Design Using Modeling Error
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes an adaptive control scheme for nonlinear systems with significant nonminimum phase dynamics.
The scheme is composed of an inner-level adaptive fuzzy PD control law and an outer-level supervisory control law.
Importantly, the inner-level controller of the two-level scheme is designed based on a fuzzy model, which takes nonminimum phase phenomenon and modeling error explicitly into account.
The scheme is both much simpler in design and more applicable to general nonlinear systems when compared with most existing nonlinear controllers.
Effectiveness of the proposed control strategy is demonstrated by numerical simulation of the control of a five-degree-of-freedom aircraft system in the face of bursting disturbances.
American Psychological Association (APA)
Tsai, Zhi-Ren& Chang, Yau-Zen. 2015. Adaptive MIMO Supervisory Control Design Using Modeling Error. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074376
Modern Language Association (MLA)
Tsai, Zhi-Ren& Chang, Yau-Zen. Adaptive MIMO Supervisory Control Design Using Modeling Error. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074376
American Medical Association (AMA)
Tsai, Zhi-Ren& Chang, Yau-Zen. Adaptive MIMO Supervisory Control Design Using Modeling Error. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074376
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074376