Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
Joint Authors
Hou, Jung-Fu
Tsai, Zhi-Ren
Chang, Yau-Zen
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-09
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Tracking control of nonlinear systems with significant delay effects has been the focus of intensive research.
In this paper, we propose an effective supervised adaptive control scheme to tackle the problem.
The scheme is composed of an adaptive control part of two neuron-like models with delay effects and a supervisory control part to enhance robustness against disturbance and model uncertainties.
A design methodology based on the Lyapunov analysis is presented.
Experimental results obtained from a practical temperature control system show that not only is the design procedure conceptually simple but also the control performance is also excellent when compared with the traditional PD controller.
Also, the feedforward term is able to provide extra improvement in the regulation performance.
American Psychological Association (APA)
Chang, Yau-Zen& Hou, Jung-Fu& Tsai, Zhi-Ren. 2013. Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1010414
Modern Language Association (MLA)
Chang, Yau-Zen…[et al.]. Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies. Mathematical Problems in Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1010414
American Medical Association (AMA)
Chang, Yau-Zen& Hou, Jung-Fu& Tsai, Zhi-Ren. Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1010414
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010414