Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies

Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies

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 effe...

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Main Authors: Yau-Zen Chang, Jung-Fu Hou, Zhi-Ren Tsai
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/705805
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spelling doaj-ec6e7750910f4b7e90222f621ea59e0c2020-11-24T22:44:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/705805705805Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory StrategiesYau-Zen Chang0Jung-Fu Hou1Zhi-Ren Tsai2Department of Mechanical Engineering, Chang Gung University, Tao-Yuan 33302, TaiwanDepartment of Mechanical Engineering, Chang Gung University, Tao-Yuan 33302, TaiwanDepartment of Computer Science & Information Engineering, Asia University, Wufeng, Taichung 41354, TaiwanTracking 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.http://dx.doi.org/10.1155/2013/705805
collection DOAJ
language English
format Article
sources DOAJ
author Yau-Zen Chang
Jung-Fu Hou
Zhi-Ren Tsai
spellingShingle Yau-Zen Chang
Jung-Fu Hou
Zhi-Ren Tsai
Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
Mathematical Problems in Engineering
author_facet Yau-Zen Chang
Jung-Fu Hou
Zhi-Ren Tsai
author_sort Yau-Zen Chang
title Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
title_short Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
title_full Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
title_fullStr Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
title_full_unstemmed Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feedforward and Supervisory Strategies
title_sort adaptive neuron-like control of time-delay systems enhanced with feedforward and supervisory strategies
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/705805
work_keys_str_mv AT yauzenchang adaptiveneuronlikecontroloftimedelaysystemsenhancedwithfeedforwardandsupervisorystrategies
AT jungfuhou adaptiveneuronlikecontroloftimedelaysystemsenhancedwithfeedforwardandsupervisorystrategies
AT zhirentsai adaptiveneuronlikecontroloftimedelaysystemsenhancedwithfeedforwardandsupervisorystrategies
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