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dc.contributor.authorJaleel, Hassan
dc.contributor.authorShamma, Jeff S.
dc.date.accessioned2017-10-01T05:07:26Z
dc.date.available2017-10-01T05:07:26Z
dc.date.issued2017-09-29
dc.identifier.citationJaleel H, Shamma JS (2017) Design Of Real-Time Implementable Distributed Suboptimal Control: An LQR Perspective. IEEE Transactions on Control of Network Systems: 1–1. Available: http://dx.doi.org/10.1109/TCNS.2017.2754362.
dc.identifier.issn2325-5870
dc.identifier.doi10.1109/TCNS.2017.2754362
dc.identifier.urihttp://hdl.handle.net/10754/625514
dc.description.abstractWe propose a framework for multiagent systems in which the agents compute their control actions in real time, based on local information only. The novelty of the proposed framework is that the process of computing a suboptimal control action is divided into two phases: an offline phase and an online phase. In the offline phase, an approximate problem is formulated with a cost function that is close to the optimal cost in some sense and is distributed, i.e., the costs of non-neighboring nodes are not coupled. This phase is centralized and is completed before the deployment of the system. In the online phase, the approximate problem is solved in real time by implementing any efficient distributed optimization algorithm. To quantify the performance loss, we derive upper bounds for the maximum error between the optimal performance and the performance under the proposed framework. Finally, the proposed framework is applied to an example setup in which a team of mobile nodes is assigned the task of establishing a communication link between two base stations with minimum energy consumption. We show through simulations that the performance under the proposed framework is close to the optimal performance and the suboptimal policy can be efficiently implemented online.
dc.description.sponsorshipResearch supported by funding from KAUST.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/8046098/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectCost function
dc.subjectApproximation algorithms
dc.subjectReal-time systems
dc.subjectCommunication networks
dc.subjectSymmetric matrices
dc.subjectMulti-agent systems
dc.titleDesign Of Real-Time Implementable Distributed Suboptimal Control: An LQR Perspective
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Control of Network Systems
dc.eprint.versionPost-print
kaust.personJaleel, Hassan
kaust.personShamma, Jeff S.
refterms.dateFOA2018-06-14T03:06:27Z


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