Global optimization method for continuous - Time sensor scheduling
We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem c...
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my.uum.repo.91642013-09-30T01:53:27Z http://repo.uum.edu.my/9164/ Global optimization method for continuous - Time sensor scheduling Woon, Siew Fang Rehbock, Volker Loxton, Ryan C. QA Mathematics We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution. InforMath Publishing Group 2010 Article PeerReviewed application/pdf en http://repo.uum.edu.my/9164/1/3.pdf Woon, Siew Fang and Rehbock, Volker and Loxton, Ryan C. (2010) Global optimization method for continuous - Time sensor scheduling. Nonlinear Dynamics and System Theory, 10 (2). pp. 175-188. ISSN 1562-8353 http://www.e-ndst.kiev.ua/v10n2/5(31)a.pdf |
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QA Mathematics Woon, Siew Fang Rehbock, Volker Loxton, Ryan C. Global optimization method for continuous - Time sensor scheduling |
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We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution. |
format |
Article |
author |
Woon, Siew Fang Rehbock, Volker Loxton, Ryan C. |
author_facet |
Woon, Siew Fang Rehbock, Volker Loxton, Ryan C. |
author_sort |
Woon, Siew Fang |
title |
Global optimization method for continuous - Time sensor scheduling |
title_short |
Global optimization method for continuous - Time sensor scheduling |
title_full |
Global optimization method for continuous - Time sensor scheduling |
title_fullStr |
Global optimization method for continuous - Time sensor scheduling |
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Global optimization method for continuous - Time sensor scheduling |
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global optimization method for continuous - time sensor scheduling |
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InforMath Publishing Group |
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2010 |
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http://repo.uum.edu.my/9164/1/3.pdf http://repo.uum.edu.my/9164/ http://www.e-ndst.kiev.ua/v10n2/5(31)a.pdf |
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