Name
Abstract | ||
|---|---|---|
In analysis and control of large-scale nonlinear dynamical systems, a distributed approach is often an attractive option due to its computational tractability and usually low communication requirements. Success of the distributed control design relies on the separability of the network into weakly interacting subsystems such that minimal information exchange between subsystems is sufficient to achieve satisfactory control performance. While distributed analysis and control design for dynamical network have been well studied, decomposition of nonlinear networks into weakly interacting subsystems has not received as much attention. In this article we propose a vector Lyapunov functions based approach to quantify the energy-flow in a dynamical network via a model of a comparison system. Introducing a notion of power and energy flow in a dynamical network, we use sum-of-squares programming tools to partition polynomial networks into weakly interacting subsystems. Examples are provided to illustrate the proposed method of decomposition. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/ECC.2018.8550418 | 2018 European Control Conference (ECC) |
Keywords | Field | DocType |
distributed analysis,nonlinear networks,weakly interacting subsystems,comparison system,polynomial networks,distributed approach,distributed control design,minimal information exchange,nonlinear dynamical networks,large-scale nonlinear dynamical systems,vector Lyapunov functions,sum-of-squares programming tools | Topology,Lyapunov function,Nonlinear system,Polynomial,Information exchange,Energy flow,Nonlinear dynamical systems,Partition (number theory),Mathematics,Nonlinear networks | Conference |
ISBN | Citations | PageRank |
978-1-5386-5303-6 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdullah Al Maruf | 1 | 0 | 2.37 |
| Soumya Kundu | 2 | 8 | 5.87 |
| Enoch Yeung | 3 | 18 | 9.21 |
| Marian Anghel | 4 | 69 | 9.68 |