Model order reduction for MIMO linear dynamical networks via Reaction-Diffusion transformation

In this paper, we propose a model order reduction method for MIMO linear dynamical networks, where a large number of subsystems interact according to a network. In this method, a spatially one-dimensional reaction-diffusion structure, which can be efficiently exploited even for large-scale systems, is fully utilized. We give a simple algorithm as well as a computable error bound in terms of the H∞-norm.

[1]  Athanasios C. Antoulas,et al.  An overview of model reduction methods and a new result , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[2]  Athanasios C. Antoulas,et al.  Approximation of Large-Scale Dynamical Systems , 2005, Advances in Design and Control.

[3]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[4]  Tobias Breiten,et al.  Interpolatory Methods for Model Reduction of Large-Scale Dynamical Systems , 2013 .

[5]  R. M. Murray,et al.  Model reduction of interconnected linear systems , 2009 .

[6]  Tadahiro Hasegawa,et al.  Modeling of shape memory alloy actuator and tracking control system with the model , 2001, IEEE Trans. Control. Syst. Technol..

[7]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[8]  Takayuki Ishizaki,et al.  Extraction of 1-dimensional reaction-diffusion structure in SISO linear dynamical networks , 2010, 49th IEEE Conference on Decision and Control (CDC).

[9]  Takayuki Ishizaki,et al.  Extraction of 1-Dimensional Reaction-Diffusion Structure in SISO Linear Dynamical Networks , 2010 .

[10]  Magnus Egerstedt,et al.  Graph Theoretic Methods in Multiagent Networks , 2010, Princeton Series in Applied Mathematics.

[11]  Carolyn L. Beck,et al.  Model reduction of multidimensional and uncertain systems , 1994, IEEE Trans. Autom. Control..

[12]  J. H. Wilkinson The algebraic eigenvalue problem , 1966 .

[13]  Serkan Gugercin,et al.  Projection methods for model reduction of large-scale dynamical systems , 2003 .