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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yunwen Xu Salapaka, S.M. Beck, C.L. |
| Copyright Year | 1963 |
| Abstract | In this technical note, we consider the dynamic coverage control problem from a clustering perspective, to which we apply control-theoretic methods to identify and track the cluster center dynamics. To the authors' knowledge, this is the first work to consider tracking cluster centers when the dynamics of the system elements involve acceleration fields. We show that a dynamic control design is necessary to achieve dynamic coverage under these acceleration fields. We pose the goal of maximizing the instantaneous coverage as a combinatorial optimization problem, and propose a framework that extends the concepts of the deterministic annealing algorithm to the dynamic setting. The resulting Lagrangian is used as a control Lyapunov function for designing coverage control. The algorithms we propose guarantee asymptotic tracking of cluster group dynamics, and we further establish continuity and boundedness of the corresponding control laws. Simulations are provided to corroborate these results. |
| Sponsorship | IEEE Control Systems Society |
| Starting Page | 1342 |
| Ending Page | 1347 |
| Page Count | 6 |
| File Size | 1366467 |
| File Format | |
| ISSN | 00189286 |
| Volume Number | 59 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heuristic algorithms Clustering algorithms Acceleration Dynamic scheduling Algorithm design and analysis Sensors Equations optimization Clustering methods deterministic annealing dynamic coverage control Lyapunov methods |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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