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20201222105703.0 |
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201222b xxu||||| |||| 00| 0 eng d |
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AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
12853 |
| Author |
Periyasamy, D. |
| 245 ## - TITLE STATEMENT |
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| Title |
Neural Network Based Model Predictive Control Of Maglev System Using Particle Swarm Optimiztion With Control Radom Exploration Velocity |
| 250 ## - EDITION STATEMENT |
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| Volume, Issue number |
Vol.5(2), Jul-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
New Delhi |
| Name of publisher, distributor, etc. |
Journals Pub |
| Year |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Pagination |
1-12p. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
This paper deals to create a mathematical exemplification of Maglev system using the model of artificial neural network and cost function minimization using particle swarm optimization with control random exploration velocity. An effective application of Model Predictive Control using a neural network as the Maglev system model is presented in this paper. The two concerns in model predictive controller one is prediction and another one is optimization of cost function. Then artificial neural network models turned the consideration of MPC users due to their ability to absolutely identify complex nonlinear relationships between dependent and independent variables with less effort. The other concern in model predictive controller is computational cost, as it does prediction and optimization at each sampling instant. The main cost in the usage of non-linear programming as the optimization algorithm is in the calculation of the Hessian matrix (second derivatives) and its inverse which is difficult and costly. There is a class of evolutionary algorithms, which are derivative free techniques that uses some tools motivated by biological evolution. Simulation consequences show convergence to a virtuous solution within minimum number of iterations and hence real time control of fast-sampling system like the Maglev system is possible. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
4619 |
| Topical term or geographic name entry element |
EXTC Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
12854 |
| Co-Author |
Keerthana, K. |
| 773 0# - HOST ITEM ENTRY |
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| Title |
International journal of VLSI design and technology |
| Place, publisher, and date of publication |
New Delhi Journals pub |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| URL |
http://ecc.journalspub.info/index.php?journal=JVDT&page=article&op=view&path%5B%5D=1217 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Koha item type |
Articles Abstract Database |
