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Adding a single state memory optimally accelerates symmetric linear maps

Alain Sarlette 1 
1 QUANTIC - QUANTum Information Circuits
ENS-PSL - École normale supérieure - Paris, UPMC - Université Pierre et Marie Curie - Paris 6, Mines Paris - PSL (École nationale supérieure des mines de Paris), Inria de Paris
Abstract : Previous papers have proposed to add memory registers to the dynamics of discrete-time linear systems in order to accelerate their convergence. In particular, it has been proved that adding one memory slot per agent allows faster convergence towards average consensus. We here prove that this situation cannot be improved by adding more memory slots, when the knowledge about the self-adjoint linear map to be accelerated reduces to bounds on its extreme eigenvalues.
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Submitted on : Monday, December 28, 2015 - 5:56:26 PM
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Alain Sarlette. Adding a single state memory optimally accelerates symmetric linear maps. IEEE Transactions on Automatic Control, 2016, 61 (11), pp.3533. ⟨10.1109/TAC.2016.2516247⟩. ⟨hal-01093907v2⟩



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