Multiple-model based predictive control of nonlinear hybrid systems based on global optimization using the Bernstein polynomial approach
DSpace at IIT Bombay
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Title |
Multiple-model based predictive control of nonlinear hybrid systems based on global optimization using the Bernstein polynomial approach
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Creator |
PATIL, BV
BHARTIYA, S NATARAJ, PSV NANDOLA, NN |
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Subject |
Bernstein polynomials
Global optimization Model predictive control Multiple-model control Nonlinear hybrid system OUTER APPROXIMATION BRANCH |
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Description |
In this paper, we propose a Bernstein polynomial based global optimization algorithm for the optimal feedback control of nonlinear hybrid systems using a multiple-model approach. Specifically, we solve at every sampling instant a polynomial mixed-integer nonlinear programming problem arising in the model predictive control strategy. The proposed algorithm uses the Bernstein polynomial form in a branch-and-bound framework, with new ingredients such as branching for integer decision variables and fathoming for each subproblem in the branch-and-bound tree. The performance of the proposed algorithm is tested and compared with existing algorithms on a benchmark three-spherical tank system. The test results show the superior performance of the proposed algorithm. (C) 2011 Elsevier Ltd. All rights reserved.
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Publisher |
ELSEVIER SCI LTD
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Date |
2014-10-15T13:17:22Z
2014-10-15T13:17:22Z 2012 |
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Type |
Article
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Identifier |
JOURNAL OF PROCESS CONTROL, 22(2)423-435
http://dx.doi.org/10.1016/j.jprocont.2011.12.006 http://dspace.library.iitb.ac.in/jspui/handle/100/14983 |
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Language |
en
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