This paper investigates the topology-independent stability of homogeneous dynamical networks, composed of interconnected equal systems. Precisely, dynamical systems with identical nominal transfer function F(s) are associated with the nodes of a directed graph, whose arcs account for their dynamic interactions, described by a common nominal transfer function G(s). It is shown that topology-independent stability is guaranteed for all possible interconnections with interaction degree (defined as the maximum number of arcs leaving a node) equal at most to N if the oc-norm of the complementary sensitivity function NF(s)G(s)[1 + NF(s)G(s)] -1 is less than 1. This bound is nonconservative in that there exist graphs with interaction degree N that are unstable for an oc-norm greater than 1. When nodes and arcs transferences are affected by uncertainties with norm bound K > 0, topology-independent stability is robustly ensured if the oc-norm is less than 1/(1 + 2NK). For symmetric systems, stability is guaranteed for all topologies with interaction degree at most N if the Nyquist plot of NF(s)G(s) does not intersect the real axis to the left of -1/2. The proposed results are applied to fluid networks and platoon formation.

A Bounded Complementary Sensitivity Function Ensures Topology-Independent Stability of Homogeneous Dynamical Networks

Blanchini, Franco
;
Casagrande, Daniele
;
Giordano, Giulia
;
Viaro, Umberto
2017-01-01

Abstract

This paper investigates the topology-independent stability of homogeneous dynamical networks, composed of interconnected equal systems. Precisely, dynamical systems with identical nominal transfer function F(s) are associated with the nodes of a directed graph, whose arcs account for their dynamic interactions, described by a common nominal transfer function G(s). It is shown that topology-independent stability is guaranteed for all possible interconnections with interaction degree (defined as the maximum number of arcs leaving a node) equal at most to N if the oc-norm of the complementary sensitivity function NF(s)G(s)[1 + NF(s)G(s)] -1 is less than 1. This bound is nonconservative in that there exist graphs with interaction degree N that are unstable for an oc-norm greater than 1. When nodes and arcs transferences are affected by uncertainties with norm bound K > 0, topology-independent stability is robustly ensured if the oc-norm is less than 1/(1 + 2NK). For symmetric systems, stability is guaranteed for all topologies with interaction degree at most N if the Nyquist plot of NF(s)G(s) does not intersect the real axis to the left of -1/2. The proposed results are applied to fluid networks and platoon formation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1121761
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