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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Bibliographic Details
Main Authors: Woon, Siew Fang, Rehbock, Volker, Loxton, Ryan C.
Format: Article
Language:English
Published: InforMath Publishing Group 2010
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Online Access: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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Institution: Universiti Utara Malaysia
Language: English
Description
Summary: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.