Chaotic behavior monitoring & control in fluidized bed systems using artificial neural network. Quarterly progress report, July 1, 1996--September 30, 1996
Abstract
We have developed techniques to control the chaotic behavior in Fluidized Bed Systems (FBC) systems using recurrent neural networks. For the sake of comparison of the techniques we have developed with the traditional chaotic system control methods, in the past three months we have been investigating the most popular and first known chaotic system control technique known as the OGY method. This method was developed by Edward Ott, Celso Grebogi and James York in 1990. In the past few years this method was further developed and applied by many researchers in the field. It was shown that this method has potential applications to a large cross section of problems in many fields. The only remaining question is whether it will prove possible to move from laboratory demonstrations on model systems to real world situations of engineering importance. We have developed computer programs to compute the OGY parameters from a chaotic time series, to control a chaotic system to a desired periodic orbit, using small perturbations to an accessible system parameter. We have tested those programs on the logistic map and the Henon map. We were able to control the chaotic behavior in such typical chaotic systems to period 1, 2,more »
- Authors:
- Publication Date:
- Research Org.:
- Tennessee State Univ., Nashville, TN (United States). School of Engineering and Technology
- Sponsoring Org.:
- USDOE Assistant Secretary for Fossil Energy, Washington, DC (United States)
- OSTI Identifier:
- 477756
- Report Number(s):
- DOE/MT/94015-T6
ON: DE97051572; TRN: 97:003573
- DOE Contract Number:
- FG22-94MT94015
- Resource Type:
- Technical Report
- Resource Relation:
- Other Information: PBD: 30 Oct 1996
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 01 COAL, LIGNITE, AND PEAT; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; FLUIDIZED BEDS; NEURAL NETWORKS; PROGRESS REPORT; MONITORING; COAL; MATHEMATICAL MODELS
Citation Formats
Bodruzzaman, M. Chaotic behavior monitoring & control in fluidized bed systems using artificial neural network. Quarterly progress report, July 1, 1996--September 30, 1996. United States: N. p., 1996.
Web. doi:10.2172/477756.
Bodruzzaman, M. Chaotic behavior monitoring & control in fluidized bed systems using artificial neural network. Quarterly progress report, July 1, 1996--September 30, 1996. United States. https://doi.org/10.2172/477756
Bodruzzaman, M. 1996.
"Chaotic behavior monitoring & control in fluidized bed systems using artificial neural network. Quarterly progress report, July 1, 1996--September 30, 1996". United States. https://doi.org/10.2172/477756. https://www.osti.gov/servlets/purl/477756.
@article{osti_477756,
title = {Chaotic behavior monitoring & control in fluidized bed systems using artificial neural network. Quarterly progress report, July 1, 1996--September 30, 1996},
author = {Bodruzzaman, M},
abstractNote = {We have developed techniques to control the chaotic behavior in Fluidized Bed Systems (FBC) systems using recurrent neural networks. For the sake of comparison of the techniques we have developed with the traditional chaotic system control methods, in the past three months we have been investigating the most popular and first known chaotic system control technique known as the OGY method. This method was developed by Edward Ott, Celso Grebogi and James York in 1990. In the past few years this method was further developed and applied by many researchers in the field. It was shown that this method has potential applications to a large cross section of problems in many fields. The only remaining question is whether it will prove possible to move from laboratory demonstrations on model systems to real world situations of engineering importance. We have developed computer programs to compute the OGY parameters from a chaotic time series, to control a chaotic system to a desired periodic orbit, using small perturbations to an accessible system parameter. We have tested those programs on the logistic map and the Henon map. We were able to control the chaotic behavior in such typical chaotic systems to period 1, 2, 3, 5..., as shown in some sample results below. In the following sections a brief discussion for the OGY method will be introduced, followed by results for the logistic map and Henon map control.},
doi = {10.2172/477756},
url = {https://www.osti.gov/biblio/477756},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 30 00:00:00 EST 1996},
month = {Wed Oct 30 00:00:00 EST 1996}
}