Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/66424
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dc.contributor.authorNuno, E.
dc.contributor.authorOrtega, R.
dc.contributor.authorJayawardhana, B.
dc.contributor.authorBasanez, L.
dc.date.accessioned2015-11-19T18:51:17Z-
dc.date.available2015-11-19T18:51:17Z-
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/20.500.12104/66424-
dc.description.abstractThis paper studies the robustness in the coordination - via energy-shaping - of multiple nonidentical flexible-joint robots with only joint position measurements. The control objective is to drive all manipulators link positions to the same constant equilibrium. If the physical parameters are exactly known, then a classical decentralized energy-shaping controller solves the desired control objective. However, under parameter uncertainty, the globally asymptotically stable equilibrium point is shifted away from the desired value. The main contribution of the paper is to show that the steady-state performance is improved adding to the decentralized control policy information exchange between the agents. More precisely, it is proven that the equilibrium with the networked controller is always closer (in a suitable metric) to the desired one than that using the decentralized controller, provided the communication graph representing the network is undirected and connected. This result holds globally for sufficiently large interconnection gains and locally (in a suitably defined sense) for all values of the gains. An additional advantage of networking is that the asymptotic stabilization objective can be achieved injecting lower gains into the loop. The paper also provides simulation and experimental evidence, which illustrate the fact that networking improves robustness with respect to parameter uncertainty. © 2013 European Control Association. Published by Elsevier Ltd. All rights reserved.
dc.titleNetworking improves robustness in flexible-joint multi-robot systems with only joint position measurements
dc.typeConference Paper
dc.identifier.doi10.1016/j.ejcon.2013.09.005
dc.relation.ispartofjournalEuropean Journal of Control
dc.relation.ispartofvolume19
dc.relation.ispartofissue6
dc.relation.ispartofpage469
dc.relation.ispartofpage476
dc.contributor.affiliationNuño, E., Department of Computer Science, CUCEI, University of Guadalajara, Mexico; Ortega, R., Laboratoire des Signaux et Systèmes, SUPÉLEC, Gif-sur-Yvette, France; Jayawardhana, B., ITM, Faculty of Mathematics and Natural Sciences, University of Groningen, Netherlands; Basañez, L., Institute of Industrial and Control Engineering, Technical University of Catalonia, Barcelona, Spain
dc.relation.isReferencedByScopus
dc.relation.isReferencedByWOS
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84888433586&partnerID=40&md5=7994e5e5ac39d6e5e44deff9370758f2
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