论文信息 - Robust signal-structure reconstruction

Robust signal-structure reconstruction

This paper focuses on the reconstruction of the signal structure of a system in the presence of noise and nonlinearities. Previous results on polynomial time reconstruction in this area were restricted to systems where target specificity was part of the inherent structure, [5]. This work extends these results to all reconstructible systems and proposes a faster reconstruction algorithm along with an improved model selection procedure. Finally, a simulation study then details the performance of this new algorithm on reconstructible systems.

Sean C. Warnick | Jorge M. Gonçalves | Vasu Chetty | David P. Hayden

[1] Sean C. Warnick,et al. Dynamical structure function identifiability conditions enabling signal structure reconstruction , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[2] Ye Yuan,et al. Robust network reconstruction in polynomial time , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[3] Sean C. Warnick,et al. Dynamical structure functions for the reverse engineering of LTI networks , 2007, 2007 46th IEEE Conference on Decision and Control.

[4] David R. Anderson,et al. Model Selection and Inference: A Practical Information-Theoretic Approach , 2001 .

[5] Sean C. Warnick,et al. Robust dynamical network structure reconstruction , 2011, Autom..

[6] V. Chetty. Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions , 2012 .