Analysis of Consensus Networks Driven by Symmetric-$\alpha$-Stable Motion
Autor: | Yaser Ghaedsharaf, Christoforos Somarakis, Nader Motee |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Mathematical optimization Noise measurement Stochastic process Computer science Gaussian MathematicsofComputing_NUMERICALANALYSIS Perturbation (astronomy) 02 engineering and technology symbols.namesake 020901 industrial engineering & automation symbols Network synthesis filters Random variable |
Zdroj: | ACC |
DOI: | 10.23919/acc.2018.8431692 |
Popis: | This manuscript discusses consensus seeking networks in the presence of non-Gaussian stochastic noise. We explore the fundamental principles of the solutions of the systems and we define performance measures similar to the ones used in the case of Gaussian stochastic noise. We outline the technical difficulties for the exact calculation of these measures and we propose estimates. It is argued that the conventional design tools in optimal network synthesis become obsolete, when the stochastic source of perturbation is not Gaussian. |
Databáze: | OpenAIRE |
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