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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1115
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| Title: | Design of a Robust Neuro-Controller for Complex Dynamic Systems |
| Authors: | Song, Ki-Young
Gupta, Madan M
Jena, Debashisha
Subudhi, B |
| Keywords: | robust neuro-controller;
position feedback;
velocity feedback;
Neural Networks |
| Issue Date: | 2009 |
| Publisher: | IEEE |
| Citation: | 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS2009) Cincinnati, Ohio, USA - June 14 - 17, 2009 |
| Abstract: | Design of neuro-controller for complex dynamic
systems is a big challenge faced by the researchers. In this paper we present a design of a robust neuro-controller for a dynamic system to make the system response fast with no overshoot. Here the control action decided by the controller
completely depends on the value of the error at that point of time. The position feedback which controls the bandwidth of the system as well as the dynamic response is a function of the
system error. For large error the position feedback is made large increasing the bandwidth of the system, and for small errors the position feedback value is small. Thus, during the
dynamic response of the system the bandwidth of the system is controlled by the system error. Similarly, the velocity feedback which controls the damping in the system is kept very small for
large errors, and large for small errors. Thus, in the proposed neuro-controller the position feedback , and velocity feedback are made... |
| URI: | http://hdl.handle.net/2080/1115 |
| Appears in Collections: | Conference Papers
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| paper_nafips.pdf | | 633Kb | Adobe PDF | View/Open |
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