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Multiple-model based predictive control of nonlinear hybrid systems based on global optimization using the Bernstein polynomial approach

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Title Multiple-model based predictive control of nonlinear hybrid systems based on global optimization using the Bernstein polynomial approach
 
Creator PATIL, BV
BHARTIYA, S
NATARAJ, PSV
NANDOLA, NN
 
Subject Bernstein polynomials
Global optimization
Model predictive control
Multiple-model control
Nonlinear hybrid system
OUTER APPROXIMATION
BRANCH
 
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.
 
Publisher ELSEVIER SCI LTD
 
Date 2014-10-15T13:17:22Z
2014-10-15T13:17:22Z
2012
 
Type Article
 
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
 
Language en