2014 IEEE International Symposium on Circuits and Systems (ISCAS) 2014
DOI: 10.1109/iscas.2014.6865505
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Consensus and synchronization of complex networks via proportional-integral coupling

Abstract: In this paper we investigate the use of distributed PI actions to achieve consensus and synchronization in complex networks. We show that by extending the classical linear diffusive coupling with an integral action it is possible to achieve better performance and steady-state behavior than with more traditional strategies. After briefly summarizing the theoretical results, we investigate the viability of the proposed strategy via numerical simulations including a representative example inspired from power syst… Show more

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Cited by 13 publications
(5 citation statements)
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“…The compact form in (26) reveals the dissipative nature of the closed loop when using the Hamiltonian function (27) where I is the Luré-type integral function in (25). In (27) we used the Bregman distance of U (θ) and I(λ) to θ * and λ * , respectively, to construct an incremental Hamiltonian function as in [11]. Next we show some properties related to this integral function.…”
Section: Local Asymptotic Stabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…The compact form in (26) reveals the dissipative nature of the closed loop when using the Hamiltonian function (27) where I is the Luré-type integral function in (25). In (27) we used the Bregman distance of U (θ) and I(λ) to θ * and λ * , respectively, to construct an incremental Hamiltonian function as in [11]. Next we show some properties related to this integral function.…”
Section: Local Asymptotic Stabilitymentioning
confidence: 99%
“…As alternatives to decentralized integral control (9) or centralized AGC (11), distributed secondary integral controllers have been proposed that average the integral actions among the generation units through a communication network between the controllers. Different distributed secondary integral approaches have been proposed on the basis of continuous-time consensus averaging with all-to-all [21,22,23,24] or nearestneighbor [25,26,27] communication. These distributed secondary control approaches can be merged with the tertiary optimization layer, based on the economic dispatch criterion (6) that all marginal utilities must be identical.…”
Section: Distributed Secondary Controllersmentioning
confidence: 99%
“…Yating Wang et al (2010) investigated the first-and secondorder consensus problem using the Linear Matrix Inequality (LMI) technique. The consensus problem of a homogeneous system for a complex network using the PI control technique is proposed in Burbano and di Bernardo (2014). Saboori and Khorasani (2014) introduced the consensus problems with H ' and weighted H ' bounds for a homogeneous team of linear time-invariant (LTI) MAS with switching topology and directed communication network graph.…”
Section: Introductionmentioning
confidence: 99%
“…The resulting dynamic coupling strategy is a proportional-integral (PI) or a proportional-derivative (PD) law that has been shown to be effective in improving the network synchronization performance. 7 From a control theoretic viewpoint, 34 the approach can be seen as the deployment of distributed PI or PD controllers over a network of interest. 8 The use of PI couplings has been proposed in the literature for achieving consensus in networks of identical nodes with linear dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…The resulting dynamic coupling strategy is shown to be effective in improving the network synchronization performance. 7…”
mentioning
confidence: 99%