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dc.contributor.authorWoon, Siew Fang
dc.contributor.authorRehbock, Volker
dc.contributor.authorLoxton, Ryan
dc.identifier.citationWoon, S.F. and Rehbock, V. and Loxton, R.C. 2010. Global Optimization Method for Continuous-Time Sensor Scheduling. Nonlinear Dynamics and Systems Theory. 10 (2): pp. 175-188.

We consider a situation in which several sensors are used to collect data for signal processing. Since operating multiple sensors simultaneously causes system interference, only one sensor can be active at any one time. The problem of scheduling the operation of the sensors to minimize signal estimation error is formulated as a discrete-valued optimal control problem. This problem cannot be solved using conventional optimization techniques. We instead transform it into an equivalent mixed discrete optimization problem. The transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discrete 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.

dc.publisherInforMath Publishing Group
dc.subjecttime scaling transformation
dc.subjectmixed discrete optimization
dc.subjectoptimal control
dc.subjectsensor scheduling
dc.subjectdiscrete filled function
dc.titleGlobal Optimization Method for Continuous-Time Sensor Scheduling
dc.typeJournal Article
dcterms.source.titleNonlinear Dynamics and systems theory

Copyright © 2010 InforMath Publishing Group

curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access

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