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DC Field | Value | Language |
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dc.contributor.author | BHANDARI, TUHINA | - |
dc.date.accessioned | 2022-02-21T08:43:32Z | - |
dc.date.available | 2022-02-21T08:43:32Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/18908 | - |
dc.description.abstract | Event-triggered control is used for reduction in communication over the feedback link without compromising the stability of the system. It is a recent approach in control theory which aims at reduction of the communication load, by exchanging information only when a certain threshold event condition has been met, over the feedback link. This method of control achieves reduction of the communication overhead, by exchanging feedback information only when a certain threshold event condition has been met. The non-linearity due to integrator windup, causes performance degradation and can lead to an unstable system. Therefore, in this paper we study an event-triggered control system with continuous input along with saturation non-linearity and dead-zone non-linearity. The results with various input signals demonstrate that event triggered system achieves desired performance in the presence of non-linearities and output quantization. Stable operation at large values of quantization steps demonstrates that the desired system performance can also be achieved with fewer bits. The results are illustrated by simulations in MATLAB/Simulink. | en_US |
dc.language.iso | en | en_US |
dc.publisher | DELHI TECHNOLOGICAL UNIVERSITY | en_US |
dc.relation.ispartofseries | TD - 5471; | - |
dc.subject | EVENT-TRIGGERED | en_US |
dc.subject | CONTROL SYSTEM | en_US |
dc.subject | NON-LINEARITY | en_US |
dc.subject | OUTPUT QUANTIZATION | en_US |
dc.title | EVENT-TRIGGERED CONTROL SYSTEM IN THE PRESENCE OF NON-LINEARITY AND OUTPUT QUANTIZATION | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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Tuhina Bhandari_Thesis_2K19CI18.pdf | 1.1 MB | Adobe PDF | View/Open |
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