IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
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http://10.1.7.192:80/jspui/handle/123456789/11609| Title: | Constrained Optimal Control of Bilinear Systems Using Neural Network Based HJB Solution |
| Authors: | Adhyaru, D. M. Kar, I. N. Gopal, M. |
| Keywords: | IC Faculty Paper Faculty Paper ITFIC002 |
| Issue Date: | 8-Jun-2008 |
| Publisher: | IEEE |
| Citation: | IEEE International Joint Conference on Neural Networks, (IJCNN 2008, IEEE World Congress on Computational Intelligence) Hong Kong , June 8, 2008, Page No. 4137-4142 |
| Series/Report no.: | ITFIC002-8 |
| Abstract: | In this paper, a Hamilton-Jacobi-Bellman (HJB) equation based optimal control algorithm is proposed for a bilinear system, Utilizing the Lyapunov direct method, the controller is shown to be optimal with respect to a cost functional, Which includes penalty on the control effort and the system states. In the proposed algorithm, Nueral Network (NN) is used to find approximate solution of HJB equation using least square method. Proposed algorithm has been applied on bilinear systems. Necessary theoretical and simulation result are presented to validate proposed algorithm. |
| URI: | http://10.1.7.192:80/jspui/handle/123456789/11609 |
| ISSN: | 1098-7576 |
| Appears in Collections: | Faculty Papers, E&I |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ITFIC002-8.pdf | ITFIC002-8 | 297.83 kB | Adobe PDF |  View/Open |
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