TY - GEN
T1 - Mean Square Limitations of Spatially Invariant Networked Systems
AU - Elia, Nicola
AU - Wang, Jing
AU - Ma, Xu
PY - 2013
Y1 - 2013
N2 - In this chapter, we summarize some of our recent results on spatially invariant networked systems. We study the effects of unreliable communication on these systems' stability and performance. Because of their special structure, the quantities that characterize the limitations of these systems can be computed more easily. In particular, we focus on Mean Square stability and performance, and investigate network architectures, which are more robust and better performing. We consider multi-agent networked systems where the communication links are unreliable and stochastically dropout. Spatial invariance leads to a simplified computation of the MS stability limitation, and allows us to derive an uncertainty conservation law enjoyed by such systems. We then focus on distributed averaging systems, for which the loss of Mean Square stability leads to the emergence of certain complex behavior related to Lévy flights. We present closed form formulae characterizing Mean Square stability and performance in the presence of unreliable communication among the nodes. Finally, we study Mean square performance in the presence of unreliable links. Our results allow to characterize the interplay between Mean Square performance and stability of torus networks of different dimensions.
AB - In this chapter, we summarize some of our recent results on spatially invariant networked systems. We study the effects of unreliable communication on these systems' stability and performance. Because of their special structure, the quantities that characterize the limitations of these systems can be computed more easily. In particular, we focus on Mean Square stability and performance, and investigate network architectures, which are more robust and better performing. We consider multi-agent networked systems where the communication links are unreliable and stochastically dropout. Spatial invariance leads to a simplified computation of the MS stability limitation, and allows us to derive an uncertainty conservation law enjoyed by such systems. We then focus on distributed averaging systems, for which the loss of Mean Square stability leads to the emergence of certain complex behavior related to Lévy flights. We present closed form formulae characterizing Mean Square stability and performance in the presence of unreliable communication among the nodes. Finally, we study Mean square performance in the presence of unreliable links. Our results allow to characterize the interplay between Mean Square performance and stability of torus networks of different dimensions.
KW - Mean Square performance
KW - Mean Square stability
KW - complex systems
KW - packet-drop networks
KW - spatially invariant systems
UR - http://www.scopus.com/inward/record.url?scp=84904680523&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-01159-2_19
DO - 10.1007/978-3-319-01159-2_19
M3 - Conference contribution
AN - SCOPUS:84904680523
SN - 9783319011585
T3 - Lecture Notes in Control and Information Sciences
SP - 357
EP - 378
BT - Control of Cyber-Physical Systems - Workshop Held at The Johns Hopkins University
PB - Springer Verlag
T2 - Workshop on Control of Cyber-Physical Systems, CPS 2013
Y2 - 20 March 2013 through 21 March 2013
ER -